Life in the Dollyverse – pride source.com

Dolly was there, almost, holding court despite her lack of humanness, as queer writers on assignment huddled giddily in front of her, awe-stricken by the realness of a fake Dolly.

I stood, out of body, piled into the country legends Chasing Rainbows Museum as the tech magic that is Dolly Partons hologram welcomed me to a Dolly shrine, perhaps the most holy site Ive seen since my parents took me to church as a kid. A regular experience at the museum, the 3D image of our honky-tonk goddess dove-coos about holding onto special memories and keepsakes; then, she asks you to remember one thing, breaking out some a cappella lines to let you know that I will always love you. She blows kisses and bids farewell: Im outta here, she says. And poof, there she goes, melting into the most magical cloud of blue fairy dust, falling to the floor. Dolly transforms into a soaring butterfly. Because Dolly Parton.

When human Dolly descended upon a conference room at her DreamMore Resort in Pigeon Forge, Tennessee, it was like shed just stepped out of a Saturday-morning cartoon or out of that holographic screen. She whooshed into our room of journalists with a hearty, Well hello eveybody! and zinged up to the front of a throng of already-seated journalists, making an astute observation on her jolly way: Yall like a bunch of kids: quiet, waiting for Ms. Dolly, Ms. Teacher, to come in.

Then Ms. Dolly got down to business, talking about her new Netflix anthology Heartstrings, where lessons are carefully taught with a steady hand and her unique ability to unify America, a topic recently explored in depth by Jad Abumrad on his podcast Dolly Partons America (having experienced Dollywood, including some of its otherworldly cinnamon bread, I can also say hes spot on in coining her universe the Dollyverse).

Expanding her ditties into full-on mini movies, the eight episodes produced for the series extend hearty lessons inspired by a mixture of both iconic and more obscure Dolly Parton songs; they gently and sneakily school the ignorant, the blissfully unaware and the downright bigoted, all told in Ms. Dollys preferred socio-political manner: through her stories.

The Jolene episode tells the tale of the eponymous misunderstood woman that Dolly fears will take her man in the song (played by Julianne Hough), though the episode concludes that its the cheating men who are the real problem. Forbidden love is the crux of Down from Dover, centered on a young black soldier and a white reverends daughter during the Vietnam War. The lesson of the Two Doors Down episode is classic Dolly because its the gay one. If youre a queer Dolly-head, you wont be surprised to discover her introduction to the episode, which spotlights a same-sex love story. But your homophobic uncle might be in fact, he might even finally learn what non-binary means and that transgender people are real people, all thanks to Ms. Dollys Queer 101 classroom introduction.

The Great Unifier, as shes been called, introduces every episode and it is always the best part of each installment. Here, she explains that even when she couldnt be with her blood family on the road, she was with a whole new family, with bands and crews that were made of all kinds of people who were different colors, gay, lesbian, transgender and all different faiths. But it didnt matter as long as we all loved each other and got along. And we did. And we still do. Because what it all comes down to is love is love, in road families and in real families. Now life might not always be a party, but you are better off if you can just enjoy yourself, have fun and accept and love the people around you.

What a wise teacher we have in Ms. Dolly. She reiterated a similar sentiment that day in the conference room, talking about the golden rule that is, once she reached the stage. Im gonna need another lift, she chirped. These are not the kind of shoes you want to take chances in. These boots arent made for walkin. She stomped the floor, then we were off. According to Ms. Dolly, that rule is treating people right and that if know your values, your morals, and you know what to sacrifice and what not to, youll be all right. (When asked about granddaughter Miley Cyrus, she further illustrated this point by saying: People say you need to talk to Miley; I say, no, I dont need to talk to Miley. Let Miley be Miley, Ill be me and everybody needs to do their own thing.)

Heartstrings practices the golden rule, and like her brand emblem the butterfly, which is everywhere at Dollywood and at the DreamMore (even the toilet paper in my hotel room was butterfly embossed) happy endings are also ubiquitous in the Dollyverse. And so its no surprise that Heartstrings is an extension of that world. A world Netflix knew the streaming population needed more of, a series that Ms. Dolly said really did tug at your heartstrings.

In her mind, her songs are already movies anyway: I grew up way back in the mountains, and early in my early days we didnt even have electricity and we listened to the Grand Ole Opry on a battery radio. She didnt watch movies, and there was no TV, so to pass the time she would paint pictures in my songs and tell stories, she said. So it was just a natural fit, I thought, to do a series based on songs that Ive written.

Ms. Dolly couldve tapped into her most well-known songs for Heartstrings you may have noticed theres no Heartstrings episode centered on I Will Always Love You (maybe next time, she says) but aside from featuring a few of her biggest hits, we wanted to pick songs that are also different. She loves Westerns and dressing up in Wild West get-ups, so since shes Dolly Parton and she can, she did a J.J. Sneed episode. Also, she loves dogs and so I had a little song I had written years ago called Cracker Jack, so we wanted to get one of those in as well. We wanted to cover all the emotions.

At one point during the press conference Ms. Dolly sneezed, which is a non-story except that this was Dolly Parton sneezing, so it was an event. She asked for a tissue and whooped a laugh, teaching us all another lesson: even honky-tonk goddesses are susceptible to seasonal sickness. With this weather changin and all that, she explained, before a man who was, I believe, a journalist but looked like he couldve easily been in one of these Heartstrings episodes passed her a tissue. She thanked him, calling him cowboy.

Like she was throwing the Cracker Jack dog a bone, she dangled the tissue out in front of our group of journalists, joking that she was going to fling it out so someone could sell it on eBay. Non-holographic Ms. Dolly, extraordinarily human at this point, called it star snot.

Watch Dolly Parton talk about Heartstrings below in the video below, from the shows premiere at Dollywood.

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Life in the Dollyverse - pride source.com

30 years of Maine Pyar Kiya: Bhagyashree thanks Salman Khan and fans for the love, check out 7 lesser… – Hindustan Times

Bollywood actor Bhagyashrees debut film Maine Pyar Kiya, that was also Salman Khans first film as the lead star, has completed 30 years of its release. Directed by Sooraj Barjatya, the film traced Salman and Bhagyashrees love story hindered by family dispute and financial differences.

Here are some of the least known facts about the film:

1) Before Salman bagged the role of Prem, Vindoo Dara Singh, Deepak Tijori and Piyush Mishra were among the few who auditioned for the role. Salman was even rejected by the films director Sooraj Barjatya after his first audition, who thought that Salman looked small. When he first came to my office, I remember he was sitting at the reception and he looked very small. It (was) the second audition that we liked and we finalised him, Sooraj had said.

2) The white pigeon that played cupid between Salmans Prem and Bhagyashrees Suman as it delivered love letters in the iconic song Kabootar Jaa, was called Handsome.

3) The films popularity was such that it was dubbed in English (When Love Calls) and Spanish (Te Amo). It was a huge hit in the Caribbean and dominated the box-office that year in Guyana, and Trinidad and Tobago. The film saw a 10-week run in Lima, Peru.

4) Maine Pyar Kiya was the biggest blockbuster in 1999 but Salman has revealed that he couldnt find work for an entire year. According to reports, Salmans father, writer Salim Khan posted an advertisement in newspaper about his sons acting capabilities, after which Salman started getting movie offers.

5) One of the many iconic characters from the film was that essayed by Nutans son Mohnish Behl. However, she wasnt very happy with her son playing the role of the villain. According to several reports, Nutan had even asked the makers to cast Mohnish in a different role. The makers, however, assured Nutan that Behls role will be remembered for a long time.

6)Director Sooraj reportedly took three months to finalise the antakshari songs where Suman confesses her love for Prem in the movie.

7) Maine Pyar Kiya was reportedly the first Bollywood film to have its own customised merchandise.

On Monday, Bhagyashree shared a video thanking fans for all the love she has received. In the video, Bhagyashree looks gorgeous as she stands in an orange sari and says, 30 saal ho gae Maine Pyar Kiya ko aur abhi tak, aapke dilo me basi hun, iske liye bahut bahut shukraguzaar hun. Yunhi Pyaar karte rahiye. Maine Pyaar kiya, aap sab se.

Also read: Kriti Kharbanda wishes boyfriend Pulkit Samrat with goofy pic: Its his birthday and hes my favourite

She wrote along with the video, 30 years of MAINE PYAAR KIYA! Thank you for all the love bestowed, the blessings, the respect and the adulation. Of course it would be impossible without @beingsalmankhan & #soorajbarjatya #mainepyaarkiya is today..a love that resides in all your hearts. #30YearsOfMainePyarKiya.

Bhagyashrees son and actor Abhimanyu Dassani also paid tribute to the film in a unique style - he recreated one if the iconic scenes from the movie with his Nikamma co-star Sherly Setia. #30YearsOfMainePyarKiya The Golden rule of Friendship taught to us by the previous generation of romantics, recreated by the next generation of #Nikammas, he wrote along with the video. In the video, Abhimanyu and Shirley recreate the scene where Prem gifts his cap with the words FRIEND and tells him, Dosti ka ek usool hai madam, no sorry no thank you.

Fans shared their favourite moments from the film. Laxmikanth Berde, had also made his debut with the film. After the success of MPK, Laxmikanth went on to become one of the best comedians of 90s. Comedians, Dilip Joshi (Jethalaal) also feature as cameos in the film.#30YearsOfMainePyarKiya @rajshri #SalmanKhan, one fan wrote.

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30 years of Maine Pyar Kiya: Bhagyashree thanks Salman Khan and fans for the love, check out 7 lesser... - Hindustan Times

The most popular diets of 2019 revealed – Metro.co.uk

From the GOLO diet to JLos healthy eating plan (Picture: Ella Byworth for Metro.co.uk)

Fad diets pop up on a regular basis, many of which are unhelpful and downright ridiculous.

If youre considering dieting, remember the golden rule: its not about starving yourself, and as with any lifestyle change, take care before making drastic changes to your food intake.

In the last year, weve explored the CICO diet (calories in, calories out), the milk diet (where you just drink milk every day, for four weeks please dont ) and carb cycling (which staggers the amount of carbohydrates that you consume).

We also investigated why ultra-processed foods are bad for us, how to make an easy Keto dinner and how the low FODmap diet can help those who suffer from IBS.

As its the end of the year, Google has just released searches for the most popular diets of 2019 and the results might surprise you.

Here are the diets that made the cut, and what theyre all about.

Intermittent fasting is technically not a diet, but an eating plan. It revolves around time restriction its not about what you eat, but when you eat it.

While there are many versions to choose from, the most popular tend to be 16:8 or 5:2.

With 16:8 you can eat during an eight-hour period, but outside of this time you are only allowed to consume non-calorie drinks. It has likely seen a boost after 50-year-old actress Jennifer Aniston, known for her toned frame, revealed that she follows this diet to keep her body in shape.

Meanwhile, 5:2 is focused on days; five days per week you have a normal diet, while only consuming 500 calories on the two other days. However, the time restriction is not set in stone; you can adjust the hours and days to suit your body type and needs.

The eating plan is meant to be help you get lean without having to restrict your food intake to specific foods, and some studies have shown that it can boost the bodys metabolism.

As the name suggests, this diet was named after a man called Dr Sebi, also known as Alfredo Darrington Bowman.

The herbalist developed an alkaline diet, which he believed would rid the body of mucus build-up and cleanse it.

This diet involves only consuming live and raw foods, including vegetables, fruits, nuts, seeds, herbs and spices. Essentially, everything that youd find in a Whole Foods isle.

Canned goods are a no-no, as are any animal products, soy, alcohol and fortified items (like cereals). You could also consider it a (very restricted) vegan diet.

Many high-profile celebrities who support the alkaline diet, including Victoria Beckham and Kate Hudson.

There has been some controversy around this diet. Dr Sebi claimed it could cure Aids, as well as various forms of cancer and other illnesses, but there has been no evidence to support this.

Similarly, a man named Robert Young, who claims to have invented the alkaline diet, has been convicted of two charges of practising medicine without a license.

Make of that what you will, but if youre going to restrict your diet to such an extent, its best to chat to a qualified nutritionist or medical professional first.

Noom is also not technically a diet, but actually a weight loss app that offers two programmes; healthy weight loss and one that is tailored for diabetes prevention.

It utilises a traffic light system to tell you which foods are healthy, and which to avoid or eat less of. Once you sign up, you will also be paired with your very own health coach.

So, does it work? Medical News Today reviewed Noom earlier this year, and highlighted several studies which demonstrated mixed results, most quite successful.

For instance, a study from 2016 revealed that out of 38,921 Noom users, 77.9% lost weight with the help of the app. The app also contains features to help you monitor your weight loss, in order to keep you on track, and it was found that those who kept on top of this saw more consistent weight loss.

Now for the downside: Noom focuses on calories, rather than nutrients. As users cant check this in the app, it might be more difficult for them to ensure their body gets everything it needs, including vitamins, minerals and fats.

Whats more, according to MNT, not all Noom coaches are certified with the National Board for Health & Wellness Coaching.

Youll also have to pay to use the app.

Heres the thing with calories: there are many factors that determine how many you are meant to consume each day so there is no one setting that works for all people.

This is dependent on your weight, height and how active you are on a day-to-day basis. By eating less calories, the stored fat in your body can burn off, but once again, counting calories often means that you forget about nutrients which are essential.

You need to get a certain amount of calcium and protein, vitamins and magnesium, and tailor the diet to your needs (i.e. the amount of calories yourbody needs). As an example, a lack of magnesium can lead to nausea, vomiting and fatigue, among other ailments.

According to a report by Public Health England in 2017, Brits should consume 1,800 calories per day. Prior to this announcement, this was recommended at 2,000 calories per day for women, and 2,500 for men.

This is only a guideline so speak to a personal trainer with nutritionist training or other professional to look over your personal diet, and how many calories you should stick to.

The GOLO diet has lost popularity; in 2016, it was the most searched weight loss method of the year.

It essentially revolves around insulin, and was put together by a team of experts including Jennifer Brooks, a chef who is board-certified in holistic nutrition and psychiatrist Dr. Keith Ablow, among others.

Those who wish to embark on the GOLO lifestyle needs to sign up on the website, and take part in the rescue programme which is said to repair your metabolism, balance hormone levels and achieve sustainable weight loss over the course of 30, 60 or 90 days.

This is done in three steps: calorie-reduction (around 1,300 to 1,800 per day), exercise and taking the GOLO Release supplement.

The latter is meant to be the defining element of the diet, which is perhaps unsurprising, given its trademarked and means customers need to come back or stick to GOLO to get access to it again.

GOLOs website boasts that many doctors are supportive of the diet, as well as glowing recommendations from users, but take this with a pinch of salt: self-promotion is easy. There is also not much in the way of studies to support the method i.e. that the supplement is of added benefit to people who are already managing a healthy diet and exercising.

Then again, the dietary plan in itself is quite inclusive, with a good level of nutrients included. Allowed foods include: fresh meats, fruits, vegetables, andhealthy fatsand of course fresh breads, pasta, and butter, according to the website.

It was created by reality TV star Heather Dubrow from The Real Housewives of Orange Country and her partner, plastic surgeon to the rich and famous, Dr Terry Dubrow.

There are three phases, each with a ,er, interesting names : red carpet ready, summer is coming and look hot while living like a human.

In short, this diet consists of intermittent fasting, but where it differs from the version weve explained above, this one includes dietary restrictions. Approved foods include vegetables, lean proteins and healthy fats. You also need to consider how much you consume, and avoid processed foods.

On the plus side, alcohol is allowed.

Be cautious, as the couple claims their plan will activate the anti-aging ability found in your cells and have apparently compared this process, known as autophagy, to plastic surgery.

Once again, add a pinch of salt to this diet.

The Sirtfood diet allows dark chocolate, caffeine and red wine. OK, thats not all you need to know, but its a pretty great benefit, as far as diets go.

Heres why its OK: these foods contain sirtuin activators which are said to improve metabolism, and in turn, help you lose weight, as well as reverse aging. Sirt foods, as they are known, include the aforementioned delights, as well as berries, kale, matcha green tea, walnuts, rocket, strawberries, soy, and more.

As for the diet itself, there are two steps to follow.

During the first step, which consists of seven days, you only consume 1,000 calories per day (see 1,200 calories above for why this can cause problems). You are only permitted to eat one meal, which must feature a lot of sirt foods, as well as three green juices. This lasts for three days.

For the remaining four days, you can have 1,500 calories, including two sirtfood dishes, and one more juice (yay?) per day. During phase two, you can have three meals and one green juice per day.

Authors of the book about the Sirtfood diet claim it can turn on your skinny gene. Were not thrilled about this term to begin with, but there is also very little research to support it.

This diet has been around for a while in one shape or another, but its been revived this year (it last made Googles list in 2015).

Back then, it was referred to as the zero carb diet, and it has proven popular with celebrities.

Its pretty much what it says on the tin: no carbs, no sugar. However, not all people who use this diet completely limit themselves; some will have a small carb intake, while others cut it out completely.

That means no pasta, refined grains, bread, starchy vegetables, milk or fruits (which have natural sugar). Instead, youll be munching on fish, eggs, cheese, water and tea.

Heres the problem: carbohydrates fuel our bodies. They are broken down into glucose, which is then used by our muscles and our brain.

If you cut out carbs and sugar completely, energy levels will drop and you may feel tired, and suffer from low blood sugar.

It sounds a bit alien-like, but endmorphs are not from another planet.

The phrase was introduced by William Sheldon, a psychologist in the 40s, who outlined it as one of three body types. The two others are called ectomorphic and mesomorphic.

According to him, endomorphs have a lower metabolism, due to having a bigger bone structure, less muscle and carrying more fat in the bodies.

The main aspect of the endomorph diet is to avoid refined carbs and eat healthy fats from proteins and nuts, as well as carbohydrates, vegetables and whole-grain foods. This is intertwined with a mix of cardio and strength training.

Exercise and healthy eating, basically.

Were not all that surprised that JLo has made the list, after showing off her toned physique in Hustlers earlier this year.

While her character might be out partying and doing tequila shots on the regular, youll have no such fun on Jennifers diet. Alcohol and caffeine are strictly forbidden, as are sweets, processed and starchy foods.

If you need a snack, reach for the fruit bowl or munch on some vegetables. Other foods that JLo likes include fish, sweet potatoes and brown rice. Nutrients are key, with the actress and singer focusing on stuffing as much vitamins and minerals into her diet as possible.

But its not just about food she also works out on a regular basis.

All in all, it appears to be a pretty healthy approach, though theres nothing wrong in indulging in a cheat day now and again.

JLo, sometimes we need cake and tequila shots, OK?

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The most popular diets of 2019 revealed - Metro.co.uk

Letters to the Editor: The top letters of 2019 – The Dallas Morning News

We appreciate all the letter writers who shared their opinions with us in 2019. Many of our readers take the time to write regularly, even daily. We read every letter. Here is a selection of some of the letters that stood out in 2019.

Last year, I spent two weeks in Poland and Germany on a World War II history tour. We visited at least six concentration camps. The tour of Auschwitz was the most memorable due to the preservation of artifacts and camp buildings. We stood in the showers and saw the crematorium. It is true history comes alive when you are physically at the location and hear the stories of those who lived through it. I now look for articles about the camps and the stories of survivors because it is real to me.

Although millennials may not know of the atrocities, they do have the opportunity to learn by visiting Holocaust museums both here and in Europe. Once one is confronted with the pictures and stories, it will not and should not be forgotten nor should it ever be allowed to happen again.

Kathy Minde, Richardson

My frequent trips to El Paso for medical clinics over the past decade gave me the experience of a dynamic bilingual city, a beautiful model of the melting-pot synergy that gave birth to the United States. The gratitude of Latino patients for my few words of Spanish, the devotion of Thomason Hospital staff and doctors to patients of every hue, the merging of cultures to give tastes from chiles rellenos to chicken-fried steak, all show the path to tolerance and humanity that makes for true greatness.

My feelings of safety that allowed enjoyment of views from the Franklin Mountains or the Tibetan heights of the University of Texas at El Paso were matched by statistics showing lower crime rates than most metropolitan areas, decreasing over the past 20 years despite the small chain fence and thin river that until recently served as a wall. The last thing our exemplary Texas border cities need are rallies for wasted funds that will make America hate again.

Golder Wilson, Dallas

Having read several recent articles that caught my attention Coast Guard officer planning terrorist attack, hate groups on the upswing, church moral issues under scrutiny, $13 million of meth found in a truck crossing into United States with strawberries it all made me wonder where we are headed. Not sure any wall will change the moral fiber of people in general. All of us need to take a pause, figure out where we are headed, and step up to change the momentum. We are better than all of this.

Vicky Herr, Carrollton

This country is in serious trouble. We have allowed our president and Congress to divide this country to such a degree that people actually hate other people just for different political ideals. This division is not in the interest of our country but instead in the interest of their individual political parties. This strategy of we vs. they is the cause of this division, and we can no longer accept it. We need to take our country back and vote for leaders who do not believe in this type of politics and who are willing to work together for the good of the country.

Divide and conquer is presently the mindset in Washington, and we need to change that mentality. Vote!

John Dunne, Frisco

Re: U.S. cuts aid to region, citing migrants Democrats denounce end of payments to Honduras, Guatemala, El Salvador, March 31 news story.

I would like to know where is the Organization of American States? Instead of cutting off aid to three Central American countries, the administration should be using our influence with all our partners in the Americas to devise strategies to deal with the extraordinary humanitarian crisis that is at the heart of the U.S. immigration predicament.

Why is Central America fundamentally different from Africa, Europe or the Middle East? The U.S. should request a United Nations task force to support Mexicos intent to prevent movement on the Mexico/Central American isthmus, while at the same time setting up a multinational OAS team to assess claims of asylum. Those with legitimate claims should then be distributed among nations of the Americas, not just the U.S., so that no one country is responsible for taking care of all these desperate people.

Benjamin Levine, North Dallas

People all over the world were watching as Notre Dame Cathedral in Paris was burning. It was likely caused by a construction accident as workers were restoring the almost 900-year-old church. Within 24 hours, more than $700 million was pledged for repairs. Likely not so many people noticed that a few days earlier three African American Baptist churches in Louisiana were deliberately burned to the ground. Evidence points to a young white man, the son of a sheriffs deputy, as the one who set the fires. Even more than the fire in Paris, the fires in Louisiana are the ones we should be paying attention to, for they represent a racist act done in the name of white supremacy.

This is the scourge that must be eliminated from America as well as from the rest of the world. I saw a T-shirt the other day that says it all: Love Your Neighbor... your black, brown, white, immigrant, disabled, religiously different, LGBTQ, fully human neighbor. Thats the last, best hope weve got.

Roger T. Quillin, Dallas/Lake Highlands

Re: "Robert Bob Compton Beloved pioneering books editor at The News, by Michael Granberry, April 26 obituary.

Kudos to Michael for what was so much more than any standard obituary but a true and very well-deserved tribute to Compton. I was one of his regular reviewers from the late 80s, starting about five years after he became the papers books editor. Before he retired, he handed me on to the new editor, who did the same when she left The Dallas Morning News.

In addition, I reviewed for the long-gone Saturday religion section. Every editor I worked with at The News was perfect, but Compton was pluperfect not so much a boss as a gentle, understanding friend who knew much. He had an unmatched style of guidance that helped this reviewer as a person while simultaneously sharpening my reviewing skills. I suspect hes already working with the heavenly choir on perfecting word choices. I know for sure that there will never be another quite like him here on earth!

Harriet P. Gross, Dallas/Vickery Meadow

Re: 3 talented teens make it to the top in Junior Cliburn, by Scott Cantrell, June 9 Arts & Life column.

The tumult of the outside world was silenced when the Dallas Symphony Orchestra hosted the Cliburn International Junior Piano Competition finals. In the cocoon of the Meyerson Symphony Center, three young pianists (ages 15, 16 and 17), with fingers like butterflies, nuanced the softness of pianissimo and the passion of forte. My heart beat faster; my soul soared; tears filled my eyes. It was a moment in time that was the promise of tomorrow.

Andrea Weinstein, Dallas

Re: Curtain falls on City Ballet Rent increase puts end to dance school that taught generations, June 28 Metro & Business story.

Dallas is losing a city treasure, and hardly anyone will know. City Ballet has been a part of this city for 69 years.

Now, thanks to a new landlord (who tried to double the rent) and rising rents in the city generally, it will shutter its doors forever. More than 100 students have lost their after-school activity an activity that promotes grace, beauty and discipline. They have lost the space to pursue their dreams and truly feel they have lost part of their family.

What makes this all the more tragic is seeing all of the vacancies on Lovers Lane. Nobody can afford the rising rents. So, as of June 30, rather than walking past a wall of windows where you can see students ages 3 to 60 learning an art form, you instead will see a dusty, empty space. How small businesses will ever afford a space in Dallas is beyond me.

Denise Brown and her daughter, Evelyn Johnson, built an amazing studio that has touched the lives of many here in Dallas and beyond. Their light and legacy will live on in the thousands of students they taught.

Tanner Hartnett, Dallas

Re: Outrage incentive is dooming our politics Cycle of controversy takes focus away from improving Americans lives, by Dan Crenshaw, July 23 Opinion.

Rep. Dan Crenshaws comments resonated with me like no other in a long time. A politician with the directivity to tell it like it is is an anomaly! He pretty much took us all to task for the circle of controversy in which our beloved country finds itself. It is shocking to continuously read and hear the childish banter between our leaders, harking to our days on the school playground. To the former Navy SEAL, I say, Bravo! Thank you for your continuing service to our country.

Anne R. Healy, Richardson

What if being tough on immigration meant having the stamina to work out comprehensive legislation that upheld our American values instead of screaming meaningless phrases like open borders and regurgitating racist rhetoric?

Brave people confront complex, real-world problems. Cowards rely on chaos to distract us from watching them run away.

Barbara Chiarello, Austin

Re: Libraries evolve to aid in crisis situations Many patrons need refuge, help that falls outside the books, Aug. 11 news story.

I was disappointed that The Dallas Morning News published this wire story without taking the opportunity to highlight the efforts being made locally at Dallas Public Library.

Since 2013, the library has made it a priority to build relationships with our customers experiencing homelessness. The program coordinator is a mental health professional. Librarians and other staff are trained to provide referrals and host programs to alleviate the boredom of life on the streets. Each year our staff has contact with more than 4,000 people in need of social services, job search help, hygiene kits and daytime activities. We also have regular coffee and conversation events to engage with the people who visit the library regularly, improving interactions for staff and customers alike.

Perhaps this is not the work we imagined when we applied for jobs at Dallas Public Library. But finding answers for the unique needs of each person who comes through our doors is very much at the core of what we do.

Jo Giudice, Dallas, director of the Dallas Public Library

Give me your tired, your poor, your huddled masses yearning to breathe free ... . So reads the plaque on the Statue of Liberty.

America once again mourns innocent lives lost forever from this earth, this America, this land of the free. The perpetrator is not one man, one group, but all of us Anglo-Saxon, white privileged Americans who have allowed this cancer of hate to fester into a deathly disease across our land. What in the world is wrong with us?

Every faith espouses the Golden Rule, Do unto others as you would have them do unto you, which boils down to honor and respect for one another because under our skin color, we are all the same. Its time to look in the mirror and point our finger there: Am I doing enough to love my neighbor?

Ann Shaw South, Richardson

The angst created by the hate and violence of our times is difficult to escape. Today I am deeply grateful for the fact that I was born in 1928, have experienced a largely safe, healthy and happy 91 years, and that I was lucky enough to be born in the United States of America. I hope to be able to vote in the 2020 presidential election.

At this moment the choice of candidates remains problematic and leans toward none of the above. I hope to find a candidate who really believes in a great America. This is not a nostalgic look backward. I cannot remember in my 91 years when America was a safe, healthy, free nation for everyone. I wait for a leader who will work for education policies that ensure higher levels of education for all; health care policies that help people live longer and healthier lives; social welfare policies that ensure a higher standard of living for all; and criminal justice policies that reduce violence and crime rates.

Maybe my dream of an America that deep in its heart is dedicated to the welfare of all is just an impossible fantasy. I refuse to abandon the dream.

Gerald L. Hastings, Dallas

I recently attended the Dallas Theater Centers presentation of Ann, a play about the late Texas Gov. Ann Richards.

It was refreshing to see one of Texas finest leaders portrayed on stage, exposing all of her personal flaws, yet showing the true colors of a real person of character in public office. What a rare pleasure to see a public official more interested in the people she serves than holding on to power.

The audience was filled with nearly 50 kids from Dallas schools who stayed after for the talk back. As I listened to these middle school and high school students, I was inspired for the future of our country and confident in the young thoughtful minds recognizing opportunities to make a difference.

A. David Zoller, Dallas

Re: FDR ran a resort from White House Trump would do well to consider this altruistic model, by Randolph Brandt, Oct. 28 Opinion.

Reading this column, I was reminded of a quote displayed in the house in Warm Springs, Ga., where Franklin D. Roosevelt died: He was the greatest man I had ever known. His life must be one of the commanding events of human destiny. Spoken by Winston Churchill.

David Haymes, Dallas

Re: This is how you do it, Dallas, by Robert Wilonsky, Nov. 3 Metro column.

Holy Batman, what a one-two punch! This Wilonsky piece on St. Jude Center was one of the most inspirational articles Ive read in a long time. He outlined a blueprint for creating meaningful housing for the homeless and showcased why the citizens in this country should look to themselves, not the government, for solutions to social problems.

The city of Dallas has been sitting on a $20 million bond issue for two years, dithering while the Catholic Housing Initiative made things happen. They have created a positive, safe homeless haven in St. Jude Center and are on their way to creating another in southwest Oak Cliff. Meanwhile, Dallas continues to dither while spending money on a community engagement plan.

Enough already with expecting government to solve our social problems! Lets start looking to churches, communities and individuals to get the work done. Government is paralyzed by nonsensical rules and regulations. It will never get anything done while continuing to spend taxpayers money at a breathtaking rate.

Danna Zoltner, Denton

Re: Amen and nay, by Kevin Loyd, Nov. 30 Letters.

I practice whistleblower law. Whistleblowers as a group are extremely courageous individuals compelled, in most cases, to expose corruption. They seriously jeopardize their familys financial welfare and lifestyle for the benefit of U.S. taxpayers and their fellow Americans.

To me that is a hero. My dictionary defines coward as a man who five times lied about his draft status to avoid his duty to his country while I commanded men in combat in Vietnam. While the coward admits that he was safely grabbing young women in the U.S., my combat soldiers were sometimes trying to grab their last breaths. Because the coward didnt serve, someone likely died or was wounded instead of him.

Yes, I know cowards, and none of them spilled any blood in Vietnam in man-to-man combat while wearing the dirty, blood-stained fatigues that we proudly wore. Crappy war, great warriors.

Sam Boyd, University Park, Combat Platoon Leader, 173rd Airborne Brigade, Ret. Vietnam

Re: City signs off on big dig rig, Dec. 4 Metro & Business story.

Perhaps, when the Big Tex boring machine is finished with the floodwater drain system, DART can contract it to excavate new subway lines under Loop 12. For too long, DART rail has been hub-and-spoke. Perhaps it is time to create the wheel, too.

Donald N. Wright, Richardson

Re: Mayor demands plan on crime Letter to city manager calls for strategies and timelines, not excuses, Dec. 4 news story.

Go with me on this. After years of mediocrity and disappointment, the New York Jets fired yet another head coach. Expecting a long line of applicants, they were surprised when no one showed up. In the end, they hired one of the few people who would actually take the job. The results have been predictable.

Certainly the mayor and citizens deserve a crime plan, but if this finger-pointing attitude results in ousting Chief U. Rene Hall, the city may find itself in league with the Jets. The Dallas Police Department is already struggling to recruit officers, and if theres constant conflict between the department and elected officials, the chief job will turn into one that no one wants.

Pointed fingers arent very useful for fighting crime.

Vinny Minchillo, Plano

The Pew Research Center released data in August of this year citing their mid-July poll showing a staggering 43% of Republicans strongly feel that the president should not be accountable to either the Congress or the courts, effectively nullifying the constitutional concept of checks and balances. There is now a demonstrably significant number of Americans who are willing to renounce our Constitution and embrace the concept of an unbridled executive.

We forget that we submit to tyrants when we renounce the difference between what we want to hear and what is, in fact, truth.

Tyranny will not rise in our country because it is strong, but because our democracy has been weakened by its very citizens.

Thomas E. Turpin, Bedford

My 6-year-old granddaughter, who has attended Montessori Childrens House and now attends White Rock Montessori, where her friends and classmates are all races and religions, was recently sitting in her fathers lap while he read to her. The instant he read the words the black man, she interjected with, Whats a black man? What a blessing it would be if only we could see each other through a childs eyes. My wish for all mankind this Christmas season is for the perfect and beautiful innocence of childhood.

Kimberly Mercer, Richardson

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Letters to the Editor: The top letters of 2019 - The Dallas Morning News

Some positive thoughts at year end – Cumberland News Now

Two weeks after Donald Trump was elected president of the United States in November 2016, my column in this newspaper was entitled Its gut-check time folks. There were concerns at that time about the economic impact of future decisions made in the U.S. posing challenges to our quality of life, especially if the world economy took a tumble.

Little did we know that three years later we would be questioning not only the economic, national security and trade decisions of our southern neighbour, but also checking our own moral compass.... to confirm how far we two nations seem to have drifted apart in our understanding of what is right and wrong in the way people live their lives and relate to each other.

So, going back to square one, what wisdom can we re-learn from the past as to how people should conduct themselves in life. Organised religions such as Christianity have belief systems primarily devoted to the worship of their deities, with limited advice to offer on interpersonal relationships, beyond the golden rule ...do unto others as you would have them do unto you, etc.

Confucius, the Chinese philosopher, who lived 500 years before Christ, emphasized personal morality, correctness of social relationships, justice and sincerity. Interestingly, he was a senior civil servant and advisor to several Chinese emperors and not a prophet.

The ancient Greeks explored the notion of living the good life based on the writings of Plato and Aristotle, also much before Christianity appeared on the scene.

I discovered recently a collection of fundamental truths under the rubric of humanism, akin to those ancient Greek philosophies. They present a range of propositions as to how people could live the good life and relate to each other for their common good.

I found them to be particularly helpful in these troubled times, and worth sharing.... a kind of a checklist we can measure ourselves against; and compare with the recent behaviour of our southern neighbours....and perhaps be thankful.

The first piece of advice is that good lives must be meaningful or purposeful to the people living them. One of Oscar Wildes most quoted remarks is that everyones map of the world should have a Utopia on it and all good things find purpose in worthwhile dreams or ideals.

The next principle is that good lives are lived in relationships, having at their core real intimacy - love, or friendship. Humans are essentially social beings and good relationships make for better people.

A third is that good lives are full of activity - of doing, making or learning. What would a life of complete ease without demands or obligations produce of value? A lengthy beach holiday, or constant binging on Netflix movies are examples of pointless recreation that come to mind.

A fourth is that good lives unfailingly demonstrate honesty and authenticity in their conduct an outcome rarely fully achieved by mere mortals, but the determined intent to achieve it is praiseworthy in itself.

A fifth is that good lives exhibit personal autonomy, that is the acceptance of responsibility for the choices we make that shape the course of our lives. Its all about being ones own lawmaker and accepting the consequences for failure, while learning from them......otherwise whats the point?

Last but not least, in a good life the quality of the life is fully enjoyed and positive; it feels rich and satisfying to the person living it......much like calling Cumberland County your home, where some remarkable human experiences comes along most every day.

Alan Walter is a retired professional engineer living in Oxford. He was born in Wales and worked in Halifax. He spends much of his time in Oxford, where he operates a small farm. He can be reached at alanwalter@eastlink.ca.

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Treasure hunting in the trash: Yellowknife salvagers cheer dump documentary – CBC.ca

A documentary that celebrates salvaging at the Yellowknife dump is being shown across the continent.

New York-based filmmaker Amy Elliott always wanted to make a film about a dump, but finding one with open access for salvagers was difficult in the United States.

"Everything's closed because of liability," Elliott said. "This was by far and away the largest dump that was open to the public for salvaging, so it was my only option."

Elliott first traveled to Yellowknife in March 2009 and said that, right away, she knew she'd found a story.

"I mean, the stuff that people were getting out of the dump, the people I met, I knew this was something I wanted to invest in and come back for."

She spent the next six years making annual journeys north and getting to know a colourful cast of characters.

Salvage, her feature-length documentary, premiered last March at the South by Southwest (SXSW) music and film festival in Austin, Texas.

It chronicles many great dump finds while documenting a battle with city hall over its move to a new "tiered-cell" system that limits access to the dump.

Salvage paints a portrait of Yellowknife as a scrappy mining town at the end of the road, where many people (particularly people of an older generation) value the goods that make it this far.

It also probes a bigger story: what are we doing with all this stuff?

Elliott first learned about the dump after coming across Walt Humphries's column, "Tales from the Dump," in the Yellowknifer newspaper.

"I think we should be proud of our dump," said Humphries, who ended up with a starring role in the documentary. "The more people see how dumps work, the more likely they are to change their hometown dump, because I believe all dumps should be open to salvage."

Humphries appears alongside other local salvagers, like Dwayne Wohlgemuth, who comes across a trove of vacuum-packed noodles.

Velma Sterenberg, a retired geologist, also appears in the film, alongside former N.W.T. commissioner Tony Whitford, who salvages wood to make birdhouses.

"I grew up like Tony," Sterenberg said, "straightening nails for my dad because those nails had to be used again because we couldn't afford to go to the store for more."

Sterenberg is routinely horrified by perfectly good things she finds people have thrown away.

"The dump is my 'Ykea,'" she said, using the local vernacular a riff on the furniture chain Ikea. "If I need something and I have a pretty good idea I can find it at the dump, I will go to the dump before I go to the hardware store."

In the documentary, Sterenberg is shown surrounded by teddy bears she hadcollected from the dump.

"I'm humbled and I'm honoured," Sterenberg said of appearing in the film. "If what I have to say makes any kind of a difference, even in a small way, then I can feel better about being a human being on this planet."

The City of Yellowknife is also pleased with the documentary.

"Salvage brings to light the complexities and relevance of waste management in a fun, intimate and honest way," said Chris Vaughn, who manages the solid waste facility, in an email.

"It showcases what the city has always known about its residents; that we are a group of resourceful and eclectic northerners that believe in the golden rule of making the best, and the most, of what we have."

Elliott said she began her project with more of a philosophical tilt than an environmental purpose. Her previous documentaries examined "World's Largest" monuments in small towns and competitive jigsaw puzzling in Minnesota (title: Wicker Kittens).

But that view changed after she spent some time on "the working face" of a real-live dump.

"The amount of plastic and the amount of e-waste so much cheap junk that ended up in the dump that I didn't realize there was so much of," Elliott said. "We really are in an unbelievable apex of consumerism and consumption."

Salvaging, Elliott thinks, is one way to let people in on the dirty secret of where the garbage goes. Plus, she said, it's fun.

"It's like a wonderland for kids, and for adults, obviously."

The documentary is not yet available to stream online, though it should be by spring.

For now, it's slated for about 10 more film festivals in the next several months.

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Treasure hunting in the trash: Yellowknife salvagers cheer dump documentary - CBC.ca

The importance of traceability in Nanotechnology manufacturing – Manufacturer.com

Mark Hughes explores the future of nanotechnology, the benefits it holds for the manufacturing sector, and the barriers that must be overcome to unlock its potential.

Nanotechnology, commonly referred to as the sixth revolutionary technology to have madeits mark on the modern world, is being increasingly viewed as a key driver for transformation in the manufacturing industry. In fact, the technology is already reaching advancements in various fields including, biotech, consumer electronics, clothing, and cosmetics.

In fact, nanotechnology is already reaching advancements in various fields, including biotech, consumer electronics, clothing, and cosmetics.

Working with nanoparticles between a scale of just 1-100 nanometres enables manufacturers to unlock enhanced or unique, physical, chemical, or biological properties, making it possible to produce superior products more economically.

From fully recyclable crisp packets to targeted medicines with minimised side-effects, and car engines that produce cleaner exhaust fumes, several industrial sectors including healthcare, automotive, packaging, and food production are already taking advantage of nanotechnology.

Just last year, researchers were able tocreate a nanoparticle influenza vaccine, while others used a hierarchically nanostructured gel to exploit solar energy to purify water at a record rate.

By introducing improved mechanical properties within existing materials, nanomaterials will enable manufacturers to raise future developments and innovation to a new level, making products faster, lighter, cheaper, and easier to manufacture.

In aerospace, for example, materials with increased stiffness and reduced weight will be favoured over heavier but weaker structures.

Future developments in nanotechnology will help manufacturers improve efficiency in a number of operations, from design, processing, and packaging, through to transportation of goods.

As climate change remains a top concern, it could also help manufacturers reduce their environmental impactby saving raw materials, energy, and water, while reducing greenhouse gases and hazardous wastes.

It will also help push manufacturing firms ahead of the competitionwhile providing a more sustainable future.

While industry will continue to see huge developments when it comes to nanotechnology, the technology itself is currently very much in its infancy.

Despite its many use cases, there remains a lot to learn about the long-term impact of manipulating materials at nanoscale.

As its easily inhaled, concerns about the health effects of nanoparticles and nanofibers, for example, mean that calls for the tighter regulation of nanotechnology are growing.

Similarly, knowledge gaps relating to the long-term environmental side effects of exposure to engineered nanomaterials means current regulatory regimes are set to intensify around the globe.

One example of this is the bacteriostatic silver nanoparticles used in socks to reduce foot odour. When washed, these particles can enter the waste water stream and have the potential to destroy beneficial bacteria that is essential to natural ecosystems, farms, and waste treatment processes.

To combat this and ensure nanotechnology can be embraced successfully and safely, traceability will be crucial. Manufacturers need to be able to quickly identify any issues that may arise where the use of nanotechnology has the potential to cause a negative impact.

This should be done with the support of fully-integrated computer systems and robust standard procedures, making sure that products have full traceability.

As this nanotechnology revolution continues to grow, enterprise resource planning software (ERP) will be essential to ensure the traceability and quality control of products.

By implementing a modern industry-specific ERP system within the base of the factory, businesses will be able to have control over all operations, ensuring consumer and workforce safety alike.

With easier data retrieval and accuracy, businesses will be able to keep up with regulatory compliance, while transforming the manufacturing of goods within the industry.

Mark Hughes is Regional Vice President for UK & Ireland at Epicor

*Image courtesy ofDepositphotos

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The importance of traceability in Nanotechnology manufacturing - Manufacturer.com

Anker Unveils First MFI Certified iPhone Flash: Could This Be the Beginning of "Pro" Lighting for Smartphones? – Fstoppers

I'm expecting a certain degree of hate because of the title for this article, but hear me out first.

A company called Anker who are better known for their portable charges has very recently unveiled the first every MFI certified iPhone flash. This means that we now have the very first natively supported external flash for the iPhone. This may seem like it's not a big deal especially considering all of the other lighting accessories currently on the market. The difference however is that this is now natively supported with both hardware and software on the iPhone. We may start to see more companies and even more experienced companies producing natively supported lighting equipment for the iPhone. This in my mind does provide huge potential for the iPhone when it comes to producing better quality images.

The iPhone is the most used camera in the world and although I don't think it's going to take over professional use anytime soon or maybe even ever, it is still filling a certain gap. Point and shoot cameras have pretty much become a thing of a past now and more people would rather shoot with their smartphones instead. The other thing to consider is that smartphone cameras have been improving in quality by significant degrees year on year. This is not the same for professional cameras and with continued improvements tocomputational photography,the gap between smartphones and pro cameras could close enough that it matters. Once again, I highly doubt that smartphone cameras could take over any professional ground anytime soon; however, the enthusiast market could be up for grabs.

I'd love to know your thoughts on this. Do you think this could open doors for people to shoot with better quality lights with their smartphones?

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Anker Unveils First MFI Certified iPhone Flash: Could This Be the Beginning of "Pro" Lighting for Smartphones? - Fstoppers

Nanotechnology Market Segmentation, Top Companies, Applications, Comprehensive Research Report and Forecast to 2026 – Market Research Sheets

The recent report added by Verified Market Research gives a detailed account of the drivers and restraints in the Global Nanotechnology market. The research report, titled [Global Nanotechnology Market Size and Forecast to 2026] presents a comprehensive take on the overall market. Analysts have carefully evaluated the milestones achieved by the global Nanotechnology market and the current trends that are likely to shape its future. Primary and secondary research methodologies have been used to put together an exhaustive report on the subject. Analysts have offered unbiased outlook on the global Nanotechnology market to guide clients toward a well-informed business decision.

Global Nanotechnology Market was valued at USD 1.03 Billion in 2018 and is projected to reachUSD 2.29 Billion by 2026, growing at a CAGR of10.40 % from 2019 to 2026.

The comprehensive research report has used Porters five forces analysis and SWOT analysis to give the readers a fair idea of the direction the global Nanotechnology market is expected to take. The Porters five forces analysis highlights the intensity of the competitive rivalry while the SWOT analysis focuses on explaining strengths, weaknesses, opportunities, and threats present in the global Nanotechnology market. The research report gives an in-depth explanation of the trends and consumer behavior pattern that are likely to govern the evolution of the global Nanotechnology market.

The following Companies as the Key Players in the Global Nanotechnology Market Research Report:

Regions Covered in the Global Nanotechnology Market:

Europe (Germany, Russia, UK, Italy, Turkey, France, etc.)

The Middle East and Africa (GCC Countries and Egypt)

North America (United States, Mexico, and Canada)

South America (Brazil etc.)

Asia-Pacific (China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

The scope of the Report:

The research report on global Nanotechnology market includes segmentation on the basis of technology, application, end users, and region. Each segmentation is a chapter, which explains relevant components. The chapters include graphs to explain the year-on-year progress and the segment-specific drivers and restraints. In addition, the report also provides the government outlooks within the regional markets that are impacting the global Nanotechnology market.

Lastly, Verified Market Researchs report on Nanotechnology market includes a detailed chapter on the company profiles. This chapter studies the key players in the global Nanotechnology market. It mentions the key products and services of the companies along with an explanation of the strategic initiatives. An overall analysis of the strategic initiatives of the companies indicates the trends they are likely to follow, their research and development statuses, and their financial outlooks. The report intends to give the readers a comprehensive point of view about the direction the global Nanotechnology market is expected to take.

Ask for Discount @https://www.verifiedmarketresearch.com/ask-for-discount/?rid=15416&utm_source=MRS&utm_medium=005

Table of Content

1 Introduction of Nanotechnology Market

1.1 Overview of the Market 1.2 Scope of Report 1.3 Assumptions

2 Executive Summary

3 Research Methodology of Verified Market Research

3.1 Data Mining 3.2 Validation 3.3 Primary Interviews 3.4 List of Data Sources

4 Nanotechnology Market Outlook

4.1 Overview 4.2 Market Dynamics 4.2.1 Drivers 4.2.2 Restraints 4.2.3 Opportunities 4.3 Porters Five Force Model 4.4 Value Chain Analysis

5 Nanotechnology Market, By Deployment Model

5.1 Overview

6 Nanotechnology Market, By Solution

6.1 Overview

7 Nanotechnology Market, By Vertical

7.1 Overview

8 Nanotechnology Market, By Geography

8.1 Overview 8.2 North America 8.2.1 U.S. 8.2.2 Canada 8.2.3 Mexico 8.3 Europe 8.3.1 Germany 8.3.2 U.K. 8.3.3 France 8.3.4 Rest of Europe 8.4 Asia Pacific 8.4.1 China 8.4.2 Japan 8.4.3 India 8.4.4 Rest of Asia Pacific 8.5 Rest of the World 8.5.1 Latin America 8.5.2 Middle East

9 Nanotechnology Market Competitive Landscape

9.1 Overview 9.2 Company Market Ranking 9.3 Key Development Strategies

10 Company Profiles

10.1.1 Overview 10.1.2 Financial Performance 10.1.3 Product Outlook 10.1.4 Key Developments

11 Appendix

11.1 Related Research

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Revisiting the rise of A.I.: How far has artificial intelligence come since 2010? – Digital Trends

2010 doesnt seem all that long ago. Facebook was already a giant, time-consuming leviathan; smartphones and the iPad were a daily part of peoples lives; The Walking Dead was a big hit on televisions across America; and the most talked-about popular musical artists were the likes of Taylor Swift and Justin Bieber. So pretty much like life as we enter 2020, then? Perhaps in some ways.

One place that things most definitely have moved on in leaps and bounds, however, is on the artificial intelligence front. Over the past decade, A.I. has made some huge advances, both technically and in the public consciousness, that mark this out as one of the most important ten year stretches in the fields history. What have been the biggest advances? Funny you should ask; Ive just written a list on exactly that topic.

To most people, few things say A.I. is here quite like seeing an artificial intelligence defeat two champion Jeopardy! players on prime time television. Thats exactly what happened in 2011, when IBMs Watson computer trounced Brad Rutter and Ken Jennings, the two highest-earning American game show contestants of all time at the popular quiz show.

Its easy to dismiss attention-grabbing public displays of machine intelligence as being more about hype-driven spectacles than serious, objective demonstrations. What IBM had developed was seriously impressive, though. Unlike a game such as chess, which features rigid rules and a limited board, Jeopardy! is less easily predictable. Questions can be about anything and often involve complex wordplay, such as puns.

I had been in A.I. classes and knew that the kind of technology that could beat a human at Jeopardy! was still decades away, Jennings told me when I was writing my book Thinking Machines. Or at least I thought that it was. At the end of the game, Jennings scribbled a sentence on his answer board and held it up for the cameras. It read: I for one welcome our new robot overlords.

October 2011 is most widely remembered by Apple fans as the month in which company co-founder and CEO Steve Jobs passed away at the age of 56. However, it was also the month in which Apple unveiled its A.I. assistant Siri with the iPhone 4s.

The concept of an A.I. you could communicate with via spoken words had been dreamed about for decades. Former Apple CEO had, remarkably, predicted a Siri-style assistant back in the 1980s; getting the date of Siri right almost down to the month. But Siri was still a remarkable achievement. True, its initial implementation had some glaring weaknesses, and Apple arguably has never managed to offer a flawless smart assistant.Nonetheless, it introduced a new type of technology that was quickly pounced on for everything from Google Assistant to Microsofts Cortana to Samsungs Bixby.

Of all the tech giant, Amazon has arguably done the most to advance the A.I. assistant in the years since. Its Alexa-powered Echo speakers have not only shown the potential of these A.I. assistants; theyve demonstrated that theyre compelling enough to exist as standalone pieces of hardware. Today, voice-based assistants are so commonplace they barely even register. Ten years ago most people had never used one.

Deep learning neural networks are not wholly an invention of the 2010s. The basis for todays artificial neural networks traces back to a 1943 paper by researchers Warren McCulloch and Walter Pitts. A lot of the theoretical work underpinning neural nets, such as the breakthrough backpropagation algorithm, were pioneered in the 1980s. Some of the advances that lead directly to modern deep learning were carried out in the first years if the 2000s with work like Geoff Hintons advances in unsupervised learning.

But the 2010s are the decade the technology went mainstream. In 2010,researchers George Dahl and Abdel-rahman Mohamed demonstrated that deep learning speech recognition tools could beat what were then the state-of-the-art industry approaches. After that, the floodgates were opened.From image recognition (example: Jeff Dean and Andrew Ngs famous paper on identifying cats) to machine translation, barely a week went by when the world wasnt reminded just how powerful deep learning could be.

It wasnt just a good PR campaign either, the way an unknown artist might finally stumble across fame and fortune after doing the same way in obscurity for decades. The 2010s are the decade in which the quantity of data exploded, making it possible to leverage deep learning in a way that simply wouldnt have been possible at any previous point in history.

Of all the companies doing amazing AI work, DeepMind deserves its own entry on this list. Founded in September 2010, most people hadnt heard of deep learning company DeepMind until it was bought by Google for what seemed like a bonkers $500 million in January 2014. DeepMind has made up for it in the years since, though.

Much of DeepMinds most public-facing work has involved the development of game-playing AIs, capable of mastering computer games ranging from classic Atari titles like Breakout and Space Invaders (with the help of some handy reinforcement learning algorithms) to, more recently, attempts at StarCraft II and Quake III Arena.

Demonstrating the core tenet of machine learning, these game-playing A.I.s got better the more they played. In the process, they were able to form new strategies that, in some cases, even their human creators werent familiar with. All of this work helped set the stage for DeepMinds biggest success of all

As this list has already shown, there are no shortage of examples when it comes to A.I. beating human players at a variety of games. But Go, a Chinese board game in which the aim is to surround more territory than your opponent, was different. Unlike other games in which players could be beaten simply by number crunching faster than humans are capable of, in Go the total number of allowable board positions is mind-bogglingly staggering: far more than the total number of atoms in the universe. That makes brute force attempts to calculate answers virtually impossible, even using a supercomputer.

Nonetheless, DeepMind managed it. In October 2015, AlphaGo became the first computer Go program to beat a human professional Go player without handicap on a full-sized 1919 board. The next year, 60 million people tuned in live to see the worlds greatest Go player, Lee Sedol, lose to AlphaGo. By the end of the series AlphaGo had beaten Sedol four games to one.

In November 2019, Sedol announced his intentions to retire as a professional Go player. He cited A.I. as the reason.Even if I become the number one, there is an entity that cannot be defeated, he said.Imagine if Lebron James announced he was quitting basketball because a robot was better at shooting hoops that he was. Thats the equivalent!

In the first years of the twenty-first century, the idea of an autonomous car seemed like it would never move beyond science fiction. In MIT and Harvard economists Frank Levy and Richard Murnanes 2004 book The New Division of Labor, driving a vehicle was described as a task too complex for machines to carry out. Executing a left turn against oncoming traffic involves so many factors that it is hard to imagine discovering the set of rules that can replicate a drivers behavior, they wrote.

In 2010, Google officially unveiled its autonomous car program, now called Waymo. Over the decade that followed, dozens of other companies (including tech heavy hitters like Apple) have started to develop their own self-driving vehicles. Collectively these cars have driven thousands of miles on public roads; apparently proving less accident-prone than humans in the process.

Foolproof full autonomy is still a work-in-progress, but this was nonetheless one of the most visible demonstrations of A.I. in action during the 2010s.

The dirty secret of much of todays A.I. is that its core algorithms, the technologies that make it tick, were actually developed several decades ago. Whats changed is the processing power available to run these algorithms and the massive amounts of data they have to train on. Hearing about a wholly original approach to building A.I. tools is therefore surprisingly rare.

Generative adversarial networks certainly qualify. Often abbreviated to GANs, this class of machine learning system was invented by Ian Goodfellow and colleagues in 2014. No less an authority than A.I. expert Yann LeCun has described it as the coolest idea in machine learning in the last twenty years.

At least conceptually, the theory behind GANs is pretty straightforward: take two cutting edge artificial neural networks and pit them against one another. One network creates something, such as a generated image. The other network then attempts to work out which images are computer-generated and which are not. Over time, the generative adversarial process allows the generator network to become sufficiently good at creating images that they can successfully fool the discriminator network every time.

The power of Generative Adversarial Networks were seen most widely when a collective of artists used them to create original paintings developed by A.I. The result sold for a shockingly large amount of money at a Christies auction in 2018.

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Revisiting the rise of A.I.: How far has artificial intelligence come since 2010? - Digital Trends

Artificial Intelligence Identifies Previously Unknown Features Associated with Cancer Recurrence – Imaging Technology News

December 27, 2019 Artificial intelligence (AI) technology developed by the RIKEN Center for Advanced Intelligence Project (AIP) in Japan has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors. Further, the AI identified features relevant to cancer prognosis that were not previously noted by pathologists, leading to a higher accuracy of prostate cancer recurrence compared to pathologist-based diagnosis. Combining the predictions made by the AI with predictions by human pathologists led to an even greater accuracy.

According to Yoichiro Yamamoto, M.D., Ph.D., the first author of the study published in Nature Communications, "This technology could contribute to personalized medicine by making highly accurate prediction of cancer recurrence possible by acquiring new knowledge from images. It could also contribute to understanding how AI can be used safely in medicine by helping to resolve the issue of AI being seen as a 'black box.'"

The research group led by Yamamoto and Go Kimura, in collaboration with a number of university hospitals in Japan, adopted an approach called "unsupervised learning." As long as humans teach the AI, it is not possible to acquire knowledge beyond what is currently known. Rather than being "taught" medical knowledge, the AI was asked to learn using unsupervised deep neural networks, known as autoencoders, without being given any medical knowledge. The researchers developed a method for translating the features found by the AI only numbers initially into high-resolution images that can be understood by humans.

To perform this feat the group acquired 13,188 whole-mount pathology slide images of the prostate from Nippon Medical School Hospital (NMSH), The amount of data was enormous, equivalent to approximately 86 billion image patches (sub-images divided for deep neural networks), and the computation was performed on AIP's powerful RAIDEN supercomputer.

The AI learned using pathology images without diagnostic annotation from 11 million image patches. Features found by AI included cancer diagnostic criteria that have been used worldwide, on the Gleason score, but also features involving the stroma connective tissues supporting an organ in non-cancer areas that experts were not aware of. In order to evaluate these AI-found features, the research group verified the performance of recurrence prediction using the remaining cases from NMSH (internal validation). The group found that the features discovered by the AI were more accurate (AUC=0.820) than predictions made based on the human-established cancer criteria developed by pathologists, the Gleason score (AUC=0.744). Furthermore, combining both AI-found features and the human-established criteria predicted the recurrence more accurately than using either method alone (AUC=0.842). The group confirmed the results using another dataset including 2,276 whole-mount pathology images (10 billion image patches) from St. Marianna University Hospital and Aichi Medical University Hospital (external validation).

"I was very happy," said Yamamoto, "to discover that the AI was able to identify cancer on its own from unannotated pathology images. I was extremely surprised to see that AI found features that can be used to predict recurrence that pathologists had not identified."

He continued, "We have shown that AI can automatically acquire human-understandable knowledge from diagnostic annotation-free histopathology images. This 'newborn' knowledge could be useful for patients by allowing highly-accurate predictions of cancer recurrence. What is very nice is that we found that combining the AI's predictions with those of a pathologist increased the accuracy even further, showing that AI can be used hand-in-hand with doctors to improve medical care. In addition, the AI can be used as a tool to discover characteristics of diseases that have not been noted so far, and since it does not require human knowledge, it could be used in other fields outside medicine."

For more information:www.riken.jp/en/research/labs/aip/

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Artificial Intelligence Identifies Previously Unknown Features Associated with Cancer Recurrence - Imaging Technology News

Artificial intelligence is helping us talk to animals (yes, really) – Wired.co.uk

Each time any of us uses a tool, such as Gmail, where theres a powerful agent to help correct our spellings, and suggest sentence endings, theres an AI machine in the background, steadily getting better and better at understanding language. Sentence structures are parsed, word choices understood, idioms recognised.

That exact capability could, in 2020, grant the ability to speak with other large animals. Really. Maybe even faster than brain-computer interfaces will take the stage.

Our AI-enhanced abilities to decode languages have reached a point where they could start to parse languages not spoken by anyone alive. Recently, researchers from MIT and Google applied these abilities to ancient scripts Linear B and Ugaritic (a precursor of Hebrew) with reasonable success (no luck so far with the older, and as-yet undeciphered Linear A).

First, word-to-word relations for a specific language are mapped, using vast databases of text. The system searches texts to see how often each word appears next to every other word. This pattern of appearances is a unique signature that defines the word in a multidimensional parameter space. Researchers estimate that languages all languages can be best described as having 600 independent dimensions of relationships, where each word-word relationship can be seen as a vector in this space. This vector acts as a powerful constraint on how the word can appear in any translation the machine comes up with.

These vectors obey some simple rules. For example: king man + woman = queen. Any sentence can be described as a set of vectors that in turn form a trajectory through the word space.

These relationships persist even when a language has multiple words for related concepts: the famed near-100 words Inuits have for snow will all be in similar dimensional spaces each time someone talks about snow, it will always be in a similar linguistic context.

Take a leap. Imagine that whale songs are communicating in a word-like structure. Then, what if the relationships that whales have for their ideas have dimensional relationships similar to those we see in human languages?

That means we should be able to map key elements of whale songs to dimensional spaces, and thus to comprehend what whales are talking about and perhaps to talk to and hear back from them. Remember: some whales have brain volumes three times larger than adult humans, larger cortical areas, and lower but comparable neuron counts. African elephants have three times as many neurons as humans, but in very different distributions than are seen in our own brains. It seems reasonable to assume that the other large mammals on earth, at the very least, have thinking and communicating and learning attributes we can connect with.

What are the key elements of whale songs and of elephant sounds? Phonemes? Blocks of repeated sounds? Tones? Nobody knows, yet, but at least the journey has begun. Projects such as the Earth Species Project aim to put the tools of our time particularly artificial intelligence, and all that we have learned in using computers to understand our own languages to the awesome task of hearing what animals have to say to each other, and to us.

There is something deeply comforting to think that AI language tools could do something so beautiful, going beyond completing our emails and putting ads in front of us, to knitting together all thinking species. That, we perhaps can all agree, is a better and perhaps nearer-term ideal to reach than brain-computer communications. The beauty of communicating with them will then be joined to the market ideal of talking to our pet dogs. (Cats may remain beyond reach.)

Mary Lou Jepsen is the founder and CEO of Openwater. John Ryan, her husband, is a former partner at Monitor Group

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Artificial intelligence is helping us talk to animals (yes, really) - Wired.co.uk

AI IN BANKING: Artificial intelligence could be a near $450 billion opportunity for banks – here are the strat – Business Insider India

Discussions, articles, and reports about the AI opportunity across the financial services industry continue to proliferate amid considerable hype around the technology, and for good reason: The aggregate potential cost savings for banks from AI applications is estimated at $447 billion by 2023, with the front and middle office accounting for $416 billion of that total, per Autonomous Next research seen by Business Insider Intelligence.

Most banks (80%) are highly aware of the potential benefits presented by AI, per an OpenText survey of financial services professionals. In fact, many banks are planning to deploy solutions enabled by AI: 75% of respondents at banks with over $100 billion in assets say they're currently implementing AI strategies, compared with 46% at banks with less than $100 billion in assets, per a UBS Evidence Lab report seen by Business Insider Intelligence. Certain AI use cases have already gained prominence across banks' operations, with chatbots in the front office and anti-payments fraud in the middle office the most mature.

The companies mentioned in this report are: Capital One, Citi, HSBC, JPMorgan Chase, Personetics, Quantexa, and U.S. Bank

Here are some of the key takeaways from the report:

In full, the report:

Interested in getting the full report? Here are two ways to access it:

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AI IN BANKING: Artificial intelligence could be a near $450 billion opportunity for banks - here are the strat - Business Insider India

Quantum leap: Why we first need to focus on the ethical challenges of artificial intelligence – Economic Times

By Vivek Wadhwa

AI has the potential to be as transformative to the world as electricity, by helping us understand the patterns of information around us. But it is not close to living up to the hype. The super-intelligent machines and runaway AI that we fear are far from reality; what we have today is a rudimentary technology that requires lots of training. Whats more, the phrase artificial intelligence might be a misnomer because human intelligence and spirit amount to much more than what bits and bytes can encapsulate.

I encourage readers to go back to the ancient wisdoms of their faith to understand the role of the soul and the deeper self. This is what shapes our consciousness and makes us human, what we are always striving to evolve and perfect. Can this be uploaded to the cloud or duplicated with computer algorithms? I dont think so.

What about the predictions that AI will enable machines to have human-like feeling and emotions? This, too, is hype. Love, hate and compassion arent things that can be codified. Not to say that a machine interaction cant seem human we humans are gullible, after all. According to Amazon, more than 1 million people had asked their Alexa-powered devices to marry them in 2017 alone. I doubt those marriages, should Alexa agree, would last very long!

Todays AI systems do their best to replicate the functioning of the human brains neural networks, but their emulations are very limited. They use a technique called Deep Learning. After you tell a machine exactly what you want it to learn and provide it with clearly labelled examples, it analyses the patterns in those data and stores them for future application. The accuracy of its patterns depends on completeness of data. So the more examples you give it, the more useful it becomes.

Herein lies a problem, though an AI system is only as good as the data it receives. It is able to interpret them only within the narrow confines of the supplied context. It doesnt understand what it has analysed so it is unable to apply its analysis to other scenarios. And it cant distinguish causation from correlation.

AI shines in performing tasks that match patterns in order to obtain objective outcomes. Examples of what it does well include playing chess, driving a car on a street and identifying a cancer lesion in a mammogram. These systems can be incredibly helpful extensions of how humans work, and with more data, the systems will keep improving. Although an AI machine may best a human radiologist in spotting cancer, it will not, for many years to come, replicate the wisdom and perspective of the best human radiologists. And it wont be able to empathise with a patient in the way that a doctor does. This is where AI presents its greatest risk and what we really need to worry about use of AI in tasks that may have objective outcomes but incorporate what we would normally call judgement. Some such tasks exercise much influence over peoples lives. Granting a loan, admitting a student to a university, or deciding whether children should be separated from their birth parents due to suspicions of abuse falls into this category. Such judgements are highly susceptible to human biases but they are biases that only humans themselves have the ability to detect.

And AI throws up many ethical dilemmas around how we use technology. It is being used to create killing machines for the battlefield with drones which can recognise faces and attack people. China is using AI for mass surveillance, and wielding its analytical capabilities to assign each citizen a social credit based on their behaviour. In America, AI is mostly being built by white people and Asians. So, it amplifies their inbuilt biases and misreads African Americans. It can lead to outcomes that prefer males over females for jobs and give men higher loan amount than women. One of the biggest problems we are facing with Facebook and YouTube is that you are shown more and more of the same thing based on your past views, which creates filter bubbles and a hotbed of misinformation. Thats all thanks to AI.

Rather than worrying about super-intelligence, we need to focus on the ethical issues about how we should be using this technology. Should it be used to recognise the faces of students who are protesting against the Citizenship (Amendment) Act? Should India install cameras and systems like China has? These are the types of questions the country needs to be asking.The writer is a distinguished fellow and professor, Carnegie Mellon Universitys College of Engineering, Silicon Valley.

This story is part of the 'Tech that can change your life in the next decade' package.

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Quantum leap: Why we first need to focus on the ethical challenges of artificial intelligence - Economic Times

Artificial Intelligence Is Rushing Into Patient Care – And Could Raise Risks – Scientific American

Health products powered by artificial intelligence, or AI, are streaming into our lives, from virtual doctor apps to wearable sensors and drugstore chatbots.

IBM boasted that its AI could outthink cancer. Others say computer systems that read X-rays will make radiologists obsolete.

Theres nothing that Ive seen in my 30-plus years studying medicine that could be as impactful and transformative as AI, said Eric Topol, a cardiologist and executive vice president of Scripps Research in La Jolla, Calif. AI can help doctors interpret MRIs of the heart, CT scans of the head and photographs of the back of the eye, and could potentially take over many mundane medical chores, freeing doctors to spend more time talking to patients, Topol said.

Even the U.S. Food and Drug Administration which has approved more than 40 AI products in the past five years says the potential of digital health is nothing short of revolutionary.

Yet many health industry experts fear AI-based products wont be able to match the hype. Many doctors and consumer advocates fear that the tech industry, which lives by the mantra fail fast and fix it later, is putting patients at risk and that regulators arent doing enough to keep consumers safe.

Early experiments in AI provide reason for caution, said Mildred Cho, a professor of pediatrics at Stanfords Center for Biomedical Ethics.

Systems developed in one hospital often flop when deployed in a different facility, Cho said. Software used in the care of millions of Americans has been shown to discriminate against minorities. And AI systems sometimes learn to make predictions based on factors that have less to do with disease than the brand of MRI machine used, the time a blood test is taken or whether a patient was visited by a chaplain. In one case, AI software incorrectly concluded that people with pneumonia were less likely to die if they had asthma an error that could have led doctors to deprive asthma patients of the extra care they need.

Its only a matter of time before something like this leads to a serious health problem, said Steven Nissen, chairman of cardiology at the Cleveland Clinic.

Medical AI, which pulled in $1.6 billion in venture capital funding in the third quarter alone, is nearly at the peak of inflated expectations, concluded a July report from the research company Gartner. As the reality gets tested, there will likely be a rough slide into the trough of disillusionment.

That reality check could come in the form of disappointing results when AI products are ushered into the real world. Even Topol, the author of Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again, acknowledges that many AI products are little more than hot air. Its a mixed bag, he said.

Experts such as Bob Kocher, a partner at the venture capital firm Venrock, are more blunt. Most AI products have little evidence to support them, Kocher said. Some risks wont become apparent until an AI system has been used by large numbers of patients. Were going to keep discovering a whole bunch of risks and unintended consequences of using AI on medical data, Kocher said.

None of the AI products sold in the U.S. have been tested in randomized clinical trials, the strongest source of medical evidence, Topol said. The first and only randomized trial of an AI system which found that colonoscopy with computer-aided diagnosis found more small polyps than standard colonoscopy was published online in October.

Few tech startups publish their research in peer-reviewed journals, which allow other scientists to scrutinize their work, according to a January article in the European Journal of Clinical Investigation. Such stealth research described only in press releases or promotional events often overstates a companys accomplishments.

And although software developers may boast about the accuracy of their AI devices, experts note that AI models are mostly tested on computers, not in hospitals or other medical facilities. Using unproven software may make patients into unwitting guinea pigs, said Ron Li, medical informatics director for AI clinical integration at Stanford Health Care.

AI systems that learn to recognize patterns in data are often described as black boxes because even their developers dont know how they have reached their conclusions. Given that AI is so new and many of its risks unknown the field needs careful oversight, said Pilar Ossorio, a professor of law and bioethics at the University of Wisconsin-Madison.

Yet the majority of AI devices dont require FDA approval.

None of the companies that I have invested in are covered by the FDA regulations, Kocher said.

Legislation passed by Congress in 2016 and championed by the tech industry exempts many types of medical software from federal review, including certain fitness apps, electronic health records and tools that help doctors make medical decisions.

Theres been little research on whether the 320,000 medical apps now in use actually improve health, according to a report on AI published Dec. 17 by the National Academy of Medicine.

Almost none of the [AI] stuff marketed to patients really works, said Ezekiel Emanuel, professor of medical ethics and health policy in the Perelman School of Medicine at the University of Pennsylvania.

The FDA has long focused its attention on devices that pose the greatest threat to patients. And consumer advocates acknowledge that some devices such as ones that help people count their daily steps need less scrutiny than ones that diagnose or treat disease.

Some software developers dont bother to apply for FDA clearance or authorization, even when legally required, according to a 2018 study in Annals of Internal Medicine.

Industry analysts say that AI developers have little interest in conducting expensive and time-consuming trials. Its not the main concern of these firms to submit themselves to rigorous evaluation that would be published in a peer-reviewed journal, said Joachim Roski, a principal at Booz Allen Hamilton, a technology consulting firm, and co-author of the National Academys report. Thats not how the U.S. economy works.

But Oren Etzioni, chief executive officer at the Allen Institute for AI in Seattle, said AI developers have a financial incentive to make sure their medical products are safe.

If failing fast means a whole bunch of people will die, I dont think we want to fail fast, Etzioni said. Nobody is going to be happy, including investors, if people die or are severely hurt.

Relaxed AI Standards At The FDA

The FDA has come under fire in recent years for allowing the sale of dangerous medical devices, which have been linked by the International Consortium of Investigative Journalists to 80,000 deaths and 1.7 million injuries over the past decade.

Many of these devices were cleared for use through a controversial process called the 510(k) pathway, which allows companies to market moderate-risk products with no clinical testing as long as theyre deemed similar to existing devices.In 2011, a committee of the National Academy of Medicine concluded the 510(k) process is so fundamentally flawed that the FDA should throw it out and start over.

Instead, the FDA is using the process to greenlight AI devices.

Of the 14 AI products authorized by the FDA in 2017 and 2018, 11 were cleared through the 510(k) process, according to a November article in JAMA. None of these appear to have had new clinical testing, the study said. The FDA cleared an AI device designed to help diagnose liver and lung cancer in 2018 based on its similarity to imaging software approved 20 years earlier. That software had itself been cleared because it was deemed substantially equivalent to products marketed before 1976.

AI products cleared by the FDA today are largely locked, so that their calculations and results will not change after they enter the market, said Bakul Patel, director for digital health at the FDAs Center for Devices and Radiological Health. The FDA has not yet authorized unlocked AI devices, whose results could vary from month to month in ways that developers cannot predict.

To deal with the flood of AI products, the FDA is testing a radically different approach to digital device regulation, focusing on evaluating companies, not products.

The FDAs pilot pre-certification program, launched in 2017, is designed to reduce the time and cost of market entry for software developers, imposing the least burdensome system possible. FDA officials say they want to keep pace with AI software developers, who update their products much more frequently than makers of traditional devices, such as X-ray machines.

Scott Gottlieb said in 2017 while he was FDA commissioner that government regulators need to make sure its approach to innovative products is efficient and that it fosters, not impedes, innovation.

Under the plan, the FDA would pre-certify companies that demonstrate a culture of quality and organizational excellence, which would allow them to provide less upfront data about devices.

Pre-certified companies could then release devices with a streamlined review or no FDA review at all. Once products are on the market, companies will be responsible for monitoring their own products safety and reporting back to the FDA. Nine companies have been selected for the pilot: Apple, FitBit, Samsung, Johnson & Johnson, Pear Therapeutics, Phosphorus, Roche, Tidepool and Verily Life Sciences.

High-risk products, such as software used in pacemakers, will still get a comprehensive FDA evaluation. We definitely dont want patients to be hurt, said Patel, who noted that devices cleared through pre-certification can be recalled if needed. There are a lot of guardrails still in place.

But research shows that even low- and moderate-risk devices have been recalled due to serious risks to patients, said Diana Zuckerman, president of the National Center for Health Research. People could be harmed because something wasnt required to be proven accurate or safe before it is widely used.

Johnson & Johnson, for example, has recalled hip implants and surgical mesh.

In a series of letters to the FDA, the American Medical Association and others have questioned the wisdom of allowing companies to monitor their own performance and product safety.

The honor system is not a regulatory regime, said Jesse Ehrenfeld, who chairs the physician groups board of trustees.In an October letter to the FDA, Sens. Elizabeth Warren (D-Mass.), Tina Smith (D-Minn.) and Patty Murray (D-Wash.) questioned the agencys ability to ensure company safety reports are accurate, timely and based on all available information.

When Good Algorithms Go Bad

Some AI devices are more carefully tested than others.

An AI-powered screening tool for diabetic eye disease was studied in 900 patients at 10 primary care offices before being approved in 2018. The manufacturer, IDx Technologies, worked with the FDA for eight years to get the product right, said Michael Abramoff, the companys founder and executive chairman.

The test, sold as IDx-DR, screens patients for diabetic retinopathy, a leading cause of blindness, and refers high-risk patients to eye specialists, who make a definitive diagnosis.

IDx-DR is the first autonomous AI product one that can make a screening decision without a doctor. The company is now installing it in primary care clinics and grocery stores, where it can be operated by employees with a high school diploma. Abramoffs company has taken the unusual step of buying liability insurance to cover any patient injuries.

Yet some AI-based innovations intended to improve care have had the opposite effect.

A Canadian company, for example, developed AI software to predict a persons risk of Alzheimers based on their speech. Predictions were more accurate for some patients than others. Difficulty finding the right word may be due to unfamiliarity with English, rather than to cognitive impairment, said co-author Frank Rudzicz, an associate professor of computer science at the University of Toronto.

Doctors at New Yorks Mount Sinai Hospital hoped AI could help them use chest X-rays to predict which patients were at high risk of pneumonia. Although the system made accurate predictions from X-rays shot at Mount Sinai, the technology flopped when tested on images taken at other hospitals. Eventually, researchers realized the computer had merely learned to tell the difference between that hospitals portable chest X-rays taken at a patients bedside with those taken in the radiology department. Doctors tend to use portable chest X-rays for patients too sick to leave their room, so its not surprising that these patients had a greater risk of lung infection.

DeepMind, a company owned by Google, has created an AI-based mobile app that can predict which hospitalized patients will develop acute kidney failure up to 48 hours in advance. A blog post on the DeepMind website described the system, used at a London hospital, as a game changer. But the AI system also produced two false alarms for every correct result, according to a July study in Nature. That may explain why patients kidney function didnt improve, said Saurabh Jha, associate professor of radiology at the Hospital of the University of Pennsylvania. Any benefit from early detection of serious kidney problems may have been diluted by a high rate of overdiagnosis, in which the AI system flagged borderline kidney issues that didnt need treatment, Jha said. Google had no comment in response to Jhas conclusions.

False positives can harm patients by prompting doctors to order unnecessary tests or withhold recommended treatments, Jha said. For example, a doctor worried about a patients kidneys might stop prescribing ibuprofen a generally safe pain reliever that poses a small risk to kidney function in favor of an opioid, which carries a serious risk of addiction.

As these studies show, software with impressive results in a computer lab can founder when tested in real time, Stanfords Cho said. Thats because diseases are more complex and the health care system far more dysfunctional than many computer scientists anticipate.

Many AI developers cull electronic health records because they hold huge amounts of detailed data, Cho said. But those developers often arent aware that theyre building atop a deeply broken system. Electronic health records were developed for billing, not patient care, and are filled with mistakes or missing data.

A KHN investigation published in March found sometimes life-threatening errors in patients medication lists, lab tests and allergies.

In view of the risks involved, doctors need to step in to protect their patients interests, said Vikas Saini, a cardiologist and president of the nonprofit Lown Institute, which advocates for wider access to health care.

While it is the job of entrepreneurs to think big and take risks, Saini said, it is the job of doctors to protect their patients.

Kaiser Health News (KHN) is a nonprofit news service covering health issues. It is an editorially independent program of the Kaiser Family Foundation that is not affiliated with Kaiser Permanente.

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Artificial Intelligence Is Rushing Into Patient Care - And Could Raise Risks - Scientific American

The skills needed to land the hottest tech job of 2020 – Business Insider Nordic

Artificial intelligence is one of the hottest topics in corporate America. So it's no surprise that companies are rushing to find the talent to support the push to adopt the advanced tech.

Demand for AI specialists grew 74% in the last five years and is expected to be one of the most highly sought-after roles in 2020, according to a new study from LinkedIn. Among the necessary skills for the position are machine learning and natural language processing.

But it's not just AI experts that are in high-demand. Cloud engineers, developers, cybersecurity experts, and data scientists also made the list. Alongside the individuals needed to support the technology, companies are also seeking leaders, like a chief transformation officer and chief culture officer, to oversee the adoption. Even non-tech positions like managing the customer experience a key focus for many digital overhauls are hot positions for 2020.

Those projections indicate just how aggressively organizations are trying to adopt more sophisticated technology, but also the major problem they face in navigating the skills gap and the tight labor market.

A struggle, however, will be finding the talent to fill the vacancies. One way companies are tackling that challenge is by upskilling their current employees.

Jeff McMillan, the chief data and analytics officer for Morgan Stanley's wealth management division, runs an internal AI boot camp that covers the basics of the technology. And Microsoft and others are working with online educational platforms like OpenClassrooms to craft comprehensive curriculum to give existing workers the chance to train for new jobs within the organization.

With tech-heavy skills in such short supply, some experts even suggest that corporations should appoint a "chief reskilling" officer to manage the push to reskill employees. "What this new role will be doing is future thinking, future strategy, future alignment with talent and people," Jason Wingard, the dean of the School of Professional Studies at Columbia University, previously told Business Insider.

While investments in larger, enterprise-wide AI projects could slip in 2020, the push to adopt the tech will remain fervent, creating a lucrative job market for those who have the skills to support the shift.

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The skills needed to land the hottest tech job of 2020 - Business Insider Nordic

The Power Of Purpose: How We Counter Hate Used Artificial Intelligence To Battle Hate Speech Online – Forbes

We Counter Hate

One of the most fascinating examples of social innovation Ive been tracking recently was the We Counter Hate platform, by Seattle-based agency Wunderman Thompson Seattle (formerly POSSIBLE) that sought to reduce hate speech on Twitter by turning retweets of these hateful messages into donations for a good cause.

Heres how it worked: Using machine learning, it first identified hateful speech on the platform. A human moderator then selected the most offensive and most dangerous tweets and attached an undeletable reply, which informed recipients that if they retweet the message, a donation will be committed to an anti-hate group. In a beautiful twist this non-profit wasLife After Hate, a group that helps members of extremist groups leave and transition to mainstream life.

Unfortunately (and ironically) on the very day I reached out to the team, Twitter decided to allow users to hide replies in their feeds in an effort to empower people faced with bullying and harassment, eliminating the reply function which was the main mechanism that gave #WeCounterHate its power and led to it being able to remove more than 20M potentialhatespeech impressions.

Undeterred, I caught up with some members of the core teamShawn Herron, Jason Carmel and Matt Gilmoreto find out more about their journey.

(From left to right)Shawn Herron, Experience Technology Director @ Wunderman ThompsonMatt ... [+] Gilmore, Creative Director @ Wunderman ThompsonJason Carmel, Chief Data Officer @ Wunderman Thompson

Afdhel Aziz: Gentlemen, welcome. How did the idea for WeCounterHate come about?

Shawn Herron: It started when we caught wind of what the citizens of the town of Wunsiedel, Germany were doing to combat the annual extremists that were descending on their town every year to hold rally and march through the streets. The towns people had devised a peaceful way to upend the extremists efforts by turning their hateful march into an involuntary walk-a-thon that benefitted EXIT Deutschland, an organization that helps people escape extremist groups. For every meter the neo Nazis marched 10 euro would be donated to Exit Deutschland. The question became, how can we scale something like that so anyone, anywhere, could have the ability to fight against hate in a meaningful way?

Jason Carmel: We knew that, to create scale, it had to be digital in nature and Twitter seemed like the perfect problem in need of a solution. We figured if we could reduce hate on a platform of that magnitude, even a small percentage, it could have a big impact. We started by developing an innovative machine-learning and natural-language processing technology that could identify and classify hate speech.

Matt Gilmore: But we still needed the mechanic, a catch 22, that would present those looking to spread hate on the platform with a no-win decision to make. Thats when we stumbled onto the fact that Twitter didnt allow people to delete comments on their tweets. The only way to remove a comment was to delete the post entirely. That mechanic is what gave us a way put a permanent marker, in the form of an image and message, on tweets containing hate speech. Its that permanent marker that let those looking to retweet, and spread hate, know that doing so would benefit an organization theyre opposed to, Life After Hate. No matter what they chose to do, love wins.

Aziz: Fascinating. So, what led you to the partnership with Life After Hate and how did that work?

Carmel: Staffed and founded by former hate group members and violent extremists, Life After Hate is a non-profit that helps people in extremist groups break from that hate-filled lifestyle. They offer a welcoming way out thats free of judgement.We collaborated with them in training the AI thats used to identify hate speech in near real time on Twitter. With the benefit of their knowledge our AI can even find hidden forms of hate speech (coded language, secret emoji combinations) in a vast sea of tweets. Their expertise was crucial to align the language we used when countering hate, making it more compassionate and matter-of-fact, rather than confrontational.

Herron: Additionally, their partnership just made perfect sense on a conceptual level as the beneficiary of the effort. If youre one of those people looking to spread hate on Twitter, youre much less likely to hit retweet knowing that youll be benefiting an organization youre opposed to.

Aziz: Was it hard to wade through that much hate speech? What surprised you?

Herron: Being exposed to all the hate filled tweets was easily the most difficult part of the whole thing. The human brain is not wired to read and see the kinds of messages we encountered for long periods of time. At the end of the countering process, after the AI identified hate, we always relied on a human moderator to validate it before countering/tagging it. We broke up the shifts between many volunteers, but it was always quite difficult when it was your shift.

Carmel: We learned that the identification of hate speech was much easier than categorizing it. Or initial understanding of hate speech, especially before Life After Hate helped us, was really just the movie version of hate speech and missed a lot of hidden context. We were also surprised at how much the language would evolve relative to current events. It was definitely something we had to stay on top of.

We were surprised by how broad a spectrum of people the hate was coming from. We went in thinking wed just encounter a bunch of thugs, but many of these people held themselves out as academics, comedians, or historians. The brands of hate some of them shared were nuanced and, in an insidious way, very compelling.

We were caught off guard by the amount of time and effort those who disliked our platform would take to slam or discredit it. A lot of these people are quite savvy and would go to great lengths to attempt to undermine our efforts. Outside of the things we dealt with in Twitter, one YouTube hate-fluencer made a video, close to an hour long, that wove all sorts of intricate theories and conspiracies about our platform.

Gilmore: We were also surprised by how wrong our instincts were. When we first started, the things we were seeing made us angry and frustrated. We wanted to come after these hateful people in an aggressive way. We wanted to fight back. Life After Hate was essential in helping course-correct our tone and message. They helped us understand (and wed like more people to know) the power of empathy combined with education, and its ability to remove walls rather than build them between people. It can be difficult to take this approach, but it ultimately gets everyone to a better place.

Aziz: I love that idea empathy with education. What were the results of the work youve done so far? How did you measure success?

Carmel: The WeCounterHate platform radically outperformed expectations of identifying hate speech (91% success) relative to a human moderator, as we continued to improve the model over the course of the project.

When @WeCounterHatereplied to a tweet containing hate, it reduces the spread of that hate by an average of 54%. Furthermore, 19% of the "hatefluencers" deleted their original tweet outright once it had been countered.

By our estimates, the Hate Tweets we countered were shared roughly 20 million fewer times compared to similar Hate Tweets by the same authors that werent countered.

Matt: It was a pretty mind-bending exercise for people working in an ad agency, that have spent our entire careers trying to gain exposure for the work we do on behalf of clients, to suddenly be trying to reduce impressions. We even began referring to WCH as the worlds first reverse-media plan, designed to reduce impressions by stopping retweets.

Aziz: So now that the project has ended, how do you hope to take this idea forward in an open source way?

Herron: Our hope was to counter hate speech online, while collecting insightful data about how hate speech online propagates. Going forward, hopefully this data will allow experts in the field to address the hate speech problem at a more systemic level. Our goal is to publicly open source archived data that has been gathered, hopefully next quarter (Q1 2020)

I love this idea on so many different levels. The ingenuity of finding a way to counteract hate speech without resorting to censorship. The partnership with Life After Hate to improve the sophistication of the detection. And the potential for this same model to be applied to so many different problems in the world (*anyone want to build a version for climate change deniers?). It proves that the creativity of the advertising world can truly be turned into a force for good, and for that I salute the team for showing us this powerful act of moral imagination.

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The Power Of Purpose: How We Counter Hate Used Artificial Intelligence To Battle Hate Speech Online - Forbes

In 2020, lets stop AI ethics-washing and actually do something – MIT Technology Review

Last year, just as I was beginning to cover artificial intelligence, the AI world was getting a major wake-up call. There were some incredible advancements in AI research in 2018from reinforcement learning to generative adversarial networks (GANs) to better natural-language understanding. But the year also saw several high-profile illustrations of the harm these systems can cause when they are deployed too hastily.

A Tesla crashed on Autopilot, killing the driver, and a self-driving Uber crashed, killing a pedestrian. Commercial face recognition systems performed terribly in audits on dark-skinned people, but tech giants continued to peddle them anyway, to customers including law enforcement. At the beginning of this year, reflecting on these events, I wrote a resolution for the AI community: Stop treating AI like magic, and take responsibility for creating, applying, and regulating it ethically.

In some ways, my wish did come true. In 2019, there was more talk of AI ethics than ever before. Dozens of organizations produced AI ethics guidelines; companies rushed to establish responsible AI teams and parade them in front of the media. Its hard to attend an AI-related conference anymore without part of the programming being dedicated to an ethics-related message: How do we protect peoples privacy when AI needs so much data? How do we empower marginalized communities instead of exploiting them? How do we continue to trust media in the face of algorithmically created and distributed disinformation?

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But talk is just thatits not enough. For all the lip service paid to these issues, many organizations AI ethics guidelines remain vague and hard to implement. Few companies can show tangible changes to the way AI products and services get evaluated and approved. Were falling into a trap of ethics-washing, where genuine action gets replaced by superficial promises. In the most acute example, Google formed a nominal AI ethics board with no actual veto power over questionable projects, and with a couple of members whose inclusion provoked controversy. A backlash immediately led to its dissolution.

Meanwhile, the need for greater ethical responsibility has only grown more urgent. The same advancements made in GANs in 2018 have led to the proliferation of hyper-realistic deepfakes, which are now being used to target women and erode peoples belief in documentation and evidence. New findings have shed light on the massive climate impact of deep learning, but organizations have continued to train ever larger and more energy-guzzling models. Scholars and journalists have also revealed just how many humans are behind the algorithmic curtain. The AI industry is creating an entirely new class of hidden laborerscontent moderators, data labelers, transcriberswho toil away in often brutal conditions.

But not all is dark and gloomy: 2019 was the year of the greatest grassroots pushback against harmful AI from community groups, policymakers, and tech employees themselves. Several citiesincluding San Francisco and Oakland, California, and Somerville, Massachusettsbanned public use of face recognition, and proposed federal legislation could soon ban it from US public housing as well. Employees of tech giants like Microsoft, Google, and Salesforce also grew increasingly vocal against their companies use of AI for tracking migrants and for drone surveillance.

Within the AI community, researchers also doubled down on mitigating AI bias and reexamined the incentives that lead to the fields runaway energy consumption. Companies invested more resources in protecting user privacy and combating deepfakes and disinformation. Experts and policymakers worked in tandem to propose thoughtful new legislationmeant to rein in unintended consequences without dampening innovation. At the largest annual gathering in the field this year, I was both touched and surprised by how many of the keynotes, workshops, and posters focused on real-world problemsboth those created by AI and those it could help solve.

So here is my hope for 2020: that industry and academia sustain this momentum and make concrete bottom-up and top-down changes that realign AI development. While we still have time, we shouldnt lose sight of the dream animating the field. Decades ago, humans began the quest to build intelligent machines so they could one day help us solve some of our toughest challenges.

AI, in other words, is meant to help humanity prosper. Lets not forget.

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In 2020, lets stop AI ethics-washing and actually do something - MIT Technology Review

Samsung to announce its Neon artificial intelligence project at CES 2020 – Firstpost

tech2 News StaffDec 26, 2019 17:21:10 IST

Samsung has been teasing Neon for quite a while on social media. It appears to be an artificial intelligence (AI) project by its research arm and the company will be announcing more details about it during CES 2020 in January.

Samsung Neon AI project. Image: Neon

Neon hasnt really revealed any details. Its being developed under Samsung Technology & Advanced Research Labs (STAR Labs). STAR Labs could be a reference to the Scientific and Technological Advanced Research Laboratories (STAR Labs) from DC Comics, but we cant confirm that. Samsungs research division is led by Pranav Mistry who earlier worked on the Samsung Galaxy Gear and is now the President and CEO of STAR Labs.

The company has set up a website with a landing page that doesnt really mention any details. It only has a message saying, Have you ever met an Artificial? It has been continuously posting images on Twitter and Instagram, including a couple of videos. These images contain the same message in different languages as well, indicating that the AI has multilingual functionality. Mistry has also been teasing Neon on his own Twitter account.

This wont be Samsungs first venture into AI since it already has the Bixby digital assistant. However, it never really took off. CES 2020 begins on 7 January and well get to know more about Neon during the expo.

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Samsung to announce its Neon artificial intelligence project at CES 2020 - Firstpost

In the 2020s, human-level A.I. will arrive, and finally ace the Turing test – Inverse

The past decade has seen the rise of remarkably human personal assistants, increasing automation in transportation and industrial environments, and even the alleged passing of Alan Turings famous robot consciousness test. Such innovations have taken artificial intelligence out labs and into our hands.

A.I. programs have become painters, drivers, doctors assistants, and even friends. But with these new benefits have also come increasing dangers. This ending decade saw the first, and likely not the last, death caused by a self-driving car.

This is #20 on Inverses 20 predictions for the 2020s.

And as we head toward another decade of machine learning and robotics research, questions surrounding the moral programming of A.I. and the limits of their autonomy will no longer be just thought-experiments but time-sensitive problem.

One such area to keep on eye on going forward into a new decade will be partially defined by this question: what kind of legal status will A.I. be granted as their capabilities and intelligence continues to scale closer to that of humans? This is a conversation the archipelago nation Malta started in 2018 when its leaders proposed that it should prepare to grant or deny citizenship to A.I.s just as they would humans.

The logic behind this being that A.I.s of the future could have just as much agency and potential to cause disruption as any other non-robotic being. Francois Piccione, policy advisor for the Maltese government, told Inverse in 2019 that not taking such measures would be irresponsible.

Artificial Intelligence is being seen in many quarters as the most transformative technology since the invention of electricity, said Piccione. To realize that such a revolution is taking place and not do ones best to prepare for it would be irresponsible.

While the 2020s might not see fully fledged citizenship for A.I.s, Inverse predicts that there will be increasing legal scrutiny in coming years over who is legally responsible over the actions of A.I., whether it be their owners or the companies designing them. Instead of citizenship or visas for A.I., this could lead to further restrictions on the humans who travel with them and the ways in which A.I. can be used in different settings.

Another critical point of increasing scrutiny in the coming years will be how to ensure A.I. programmers continue to think critically about the algorithms they design.

This past decade saw racism and death as the result of poorly designed algorithms and even poorer introspection. Inverse predicts that as A.I. continues to scale labs will increasingly call upon outside experts, such as ethicists and moral psychologists, to make sure these human-like machines are not doomed to repeat our same, dehumanizing, mistakes.

As 2019 draws to a close, Inverse is looking to the future. These are our 20 predictions for science and technology for the 2020s. Some are terrifying, some are fascinating, and others we can barely wait for. This has been #20. Read a related story here.

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In the 2020s, human-level A.I. will arrive, and finally ace the Turing test - Inverse