Relaxing Scenes From Santa Cruz Beaches
Soothing Ocean Sounds. Sunlight Soaked Sand. Come Relax On The Beach. Santa Cruz California. http://juiceboxthoughts.com http://chicachicagoboom.com http://markstenger.com.
By: Mazzy D
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23 Thelma Toby #39;s Beach Camp - Banca to other Beaches (15min Video)
This Video was shot on the morning of day 2, taking a small Banca from the Beach Camp over towards Port Barton and checking out some of the other Beaches on the way back. Most of this region...
By: Philippines Trip 2014
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23 Thelma & Toby's Beach Camp - Banca to other Beaches (15min Video) - Video
Astronomy - Ch. 4: History of Astronomy (12 of 16) The Giants of Astronomy:Galileo Galile
Visit http://ilectureonline.com for more math and science lectures! In this video I will some of the history, laws, and theories of Galileo Galilei. Next vid...
By: Michel van Biezen
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Astronomy - Ch. 4: History of Astronomy (12 of 16) The Giants of Astronomy:Galileo Galile - Video
PHY195 Astronomy #02 Spring 2015
Astronomy with Bruce Betts Taught by Bruce Betts of The Planetary Society for undergraduates and astronomy enthusiast http://www.youtube.com/csudhtv [Please Subscri...
By: csuDHTV
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AUDITORY - VISUALIZATIONS// CELESTIAL MECHANICS AND DYNAMICAL ASTRONOMY
Celestial Mechanics and Dynamical Astronomy. Jason Javar Lawrence 2014 Produce, Audio - Visual Live Performance, Signal Ensemble Theatre, Chicago, IL.
By: JASON JAVAR LAWRENCE
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AUDITORY - VISUALIZATIONS// CELESTIAL MECHANICS AND DYNAMICAL ASTRONOMY - Video
Astronomy - Ch. 7: The Solar Sys - Comparative Planetology (11 of 33) Planet Surface Temperature
Visit http://ilectureonline.com for more math and science lectures! In this video I will discuss the various surface temperatures of the planets in our Solar...
By: Michel van Biezen
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Astronomy For Everyone - Episode 34 - Meteorites March 2012
Astronomy For Everyone is a TV series of monthly TV shows developed by members of the Ford Amateur Astronomy Club (FAAC) targeted to beginner and intermediate audiences as well as all amateur ...
By: Astronomy For Everyone
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Astronomy For Everyone - Episode 34 - Meteorites March 2012 - Video
Bill Gates #39; Fears Over Artificial Intelligence
CNN #39;s Carol Costello speaks with technology correspondent Samuel Burke about Bill Gates #39; concerns regarding artificial intelligence.
By: Samuel Burke
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Weve all been seeing hype and excitement around artificial intelligence, big data, machine learning and deep learning. Theres also a lot of confusion about what they really mean and whats actually possible today. These terms are used arbitrarily and sometimes interchangeably, which further perpetuates confusion.
So, lets break down these terms and offer some perspective.
Artificial Intelligence is a branch of computer science that deals with algorithms inspired by various facets of natural intelligence. It includes performing tasks that normally require human intelligence, such as visual perception, speech recognition, problem solving and language translation. Artificial intelligence can be seen in many every day products, from intelligent personal assistants in your smartphone to the X-box 360 Kinect camera, allowing you to interact with games through body movement. There are also well-known examples of AI that are more experimental, from the self-aware Super Mario to the widely discussed driverless car. Other less commonly discussed examples include the ability to sift through millions of images to pull together notable insights.
Big Data is an important part of AI and is defined as extremely large data sets that are so large they cannot be analyzed, searched or interpreted using traditional data processing methods. As a result, they have to be analyzed computationally to reveal patterns, trends, and associations. This computational analysis, for instance, has helped businesses improve customer experience and their bottom line by better understand human behavior and interactions. There are many retailers that now rely heavily on Big Data to help adjust pricing in near-real time for millions of items, based on demand and inventory. However, processing of Big Data to make predictions or decisions like this often requires the use of Machine Learning techniques.
Machine Learningis a form of artificial intelligence which involves algorithms that can learn from data. Such algorithms operate by building a model based on inputsand using that information to make predictions or decisions, rather than following only explicitly programmed instructions. There are lots of basic decisions that can be performed leveraging machine learning, like Nest with its learning thermostats as one example. Machine Learning is widely used in spam detection, credit card fraud detection, and product recommendation systems, such as with Netflix or Amazon.
Deep Learningis a class of machine learning techniques that operate by constructing numerous layers of abstraction to help map inputs to classifications more accurately. The abstractions made by Deep Learning methods are often observed as being human like, and the big breakthrough in this field in recent years has been the scale of abstraction that can now be achieved. This, in recent years, has resulted in breakthroughs in computer vision and speech recognition accuracy. Deep Learning is inspired by a simplified model of the way Neural Networks are thought to operate in the brain.
No doubt AI is in a hype cycle these days. Recent breakthroughs in Distributed AI and Deep Learning, paired with the ever-increasing need for deriving value from huge stashes of data being collected in every industry, have helped renew interest in AI. Unfortunately, along with the hype, there has also been much concern about the risks of AI. In my opinion, much of this concern is misplaced and unhelpful most of the concerns raised apply equally to technology in general, and just because this specific branch of technology is inspired by natural intelligence should not make it particularly more or less of a concern.
[Recently on Insights:The Upside of Artificial Intelligence Development|Google and Elon Musk to Decide What Is Good for Humanity]
As mortal humans, we do not understand the functionality of many of the technologies we use, and in this age of information, many decisions are already being made for us automatically by computers. If not understanding how these technologies around us work is concerning, then there is plenty to be concerned about before we start worrying about AI. The fact of the matter is that AI technologies already enable many of the products and services we know and love, so better to start understanding more about what these technologies are and how they work, than to believe in the Hollywood-style hype about futuristic scenarios.
When it comes to the potential of the recent AI breakthroughs, there is, in spite of the hype, much to be excited about. While there is a vast and growing amount of data available related to critical problems, it remains mostly unmined, unrefined and un-monetized. There is an inability to analyze and utilize available data to make intelligent, bias-free, decisions. Companies should be using refined data to make the right decisions and solve the worlds most vexing challenges. The speed and computing scale required to make advances in mission critical problem solving has not existed until now.
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Benedict Cumberbatch plays computer pioneer Alan Turing in the Oscar-nominated film "The Imitation Game." The "game" he speaks of has come to be known as the "Turing Test" for artificial intelligence, or A.I., which has long been a science-fiction staple. Now, it is no longer fiction.
Last summer, for the first time, a computer passed the Turing Test. Scientists are excited, but some people worry about where this all could lead.
Some are already putting these machines to practical use. When professor Manuela Veloso has a guest at her office, she doesn't greet them herself. She sends a robot.
"Hello, I'm here to take Anthony Mason to room 7002," the robot said to CBS News correspondent Anthony Mason. "Please press done when I can go."
More precisely, it's a CoBot, or collaborative robot.
Because the robot is without arms, it needs help pushing the elevator button. But inside the computer science building at Pittsburgh's Carnegie Mellon University, it knows exactly where it's going.
"Hello, I have brought Anthony Mason from room 4405. Please press done when I can leave," the robot said to Veloso.
Veloso and her students first began using the CoBots in 2010. In her building alone, the robot has gone more than 1,000 kilometers.
Four CoBots now roll through the halls. Each navigates on its own computing location and course by using onboard cameras and the detailed maps with which it is programmed.
To send the robot somewhere, you simply hit "schedule task," and the CoBot will ask how it can assist. If you stand in front of it, it will courteously say "please excuse me" until you move.
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I recently wrote about how to statistically model any given set of search results, which I hope gives marketing professionals a glimpse into how rapidly the SEO industry is currently changing in 2015. In that article, I had mentioned that the search engine model should be able to self-calibrate, or take its algorithms and weightings of those algorithms, and correlate the modeled data against real-world data from public search engines, to find a precise search engine modeling of any environment.
But taking thousands of parameters and trying to find the best combination of those that can curve fit search engine results is what we in computer science call a NP-Hard problem. Its astronomically expensive in terms of computational processing. Its really hard.
So how can we accomplish this task of self-calibrating a search engine model? Well, it turns out that we will turn to the birds yes, birds to solve this incredibly hard problem.
Full Disclosure: I am the CTO of MarketBrew, a company that uses artificial intelligence to develop and host a SaaS-based commercial search engine model.
I have always been a fan of huge problems. This one is no different, and it just so happens that huge problems comes with awesome solutions. I turn your attention to one such solution: Particle swarm optimization (PSO), which is an artificial intelligence (AI) technique that was first published in 1995 as a model of social behavior. The technique is actually modeled on the concept of bird flocking.
An Example Performance Landscape of Particle Swarm Optimization in Action
The optimization is really quite remarkable. In fact, all of our rules-based algorithms that we have invented to-date still cannot be used to find approximate solutions to extremely difficult or impossible numeric maximization and minimization problems. Yet, using a simple model of how birds flock can get you an answer within a fraction of time. We have heard the gloom and doom news about how AI might take over the world some day, but in this case, AI helps us solve a most amazing problem.
I actually have been involved with a number of Swarm Intelligence projects throughout my career. In February 1998, I worked as a communications engineer on the Millibot Project, formerly known as the Cyberscout Project, a project utilized by the United States Marines. The Cyperscout was basically a legion of tiny little robots that could be dispersed into a building and provide instant coverage throughout that building. The ability of the robots to communicate and relay information between one another, allowed the swarm of robots to act as one, effectively turning a very tedious task of searching an entire building into a leisurely stroll down one hallway (most of these tiny robots each had to travel a only few yards total).
The really cool thing about PSO is that it doesnt make any assumption about the problem you are solving. It is a cross between a rules-based algorithm that attempts to converge on a solution, and an AI-like neural network that attempts to explore the problem space. So, the algorithm is a tradeoff of exploratory behavior vs. exploitative behavior.
Without the exploratory nature of this optimization approach, the algorithm would certainly converge on what statisticians like to call a local maxima (a solution that appears to be optimal, but is not optimal).
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Using Artificial Intelligence to Solve #SEO by @scott_stouffer
Victorinox Swiss Army Chrono Classic Chrono Classic XLS MT Breitling Aerospace alternative
By: nav san
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Victorinox Swiss Army Chrono Classic Chrono Classic XLS MT Breitling Aerospace alternative - Video
LOS ANGELES (AP) Ahead of Sundays 87th Academy Awards, Associated Press film writers Jake Coyle and Lindsey Bahr share their predictions for a ceremony that could be a nail biter.
Coyle:
Will Win: Alejandro Gonzalez Inarritus Birdman comes home to roost despite the landmark accomplishment of Boyhood. As a celebration of showbiz, its the Shakespeare in Love of its time.
Should Win: Boyhood marries film and time in a uniquely powerful way, but its also worth making a case for Wes Andersons The Grand Budapest Hotel, the most relentlessly fun and inventive film of the year.
Should Have Been a Contender: Interstellar. Christopher Nolans epic is unloved, but its a glorious sci-fi soup that would have added some big-budget dazzle to theOscars. I mean, its got a fourth dimension.
Bahr:
Will Win: While Birdmans formal ambitions and extraordinary ensemble cast are impressive, the earnest 12-year experiment that spawned a compelling film in Boyhood is just too good a narrative to ignore.
Should Win: Boyhood, but not because of dedication. A lot of people toil for years on their dream projects. Boyhood is a great and deeply humane film that celebrates the ordinariness of the everyday and is destined to be a classic.
Should Have Been a Contender: In 10 years well look back on Interstellars near-absence from this years Academy Awards as a grave cinematic injustice. At least Nolan is in good company. 2001: A Space Odyssey was shut out of the best picture race too.
Bahr:
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The Fear of Art: Reflections on Art Censorship and Banning
The Center for Public Scholarship (http://www.newschool.edu/cps/) at The New School (http://www.newschool.edu) presents a public conference on The Fear of Ar...
By: The New School
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The Fear of Art: Reflections on Art Censorship and Banning - Video
The Fear of Art: Who Does the Policing? What Is the Role of Self-Censorship?
The Center for Public Scholarship (http://www.newschool.edu/cps/) at The New School (http://www.newschool.edu) presents a public conference on The Fear of Ar...
By: The New School
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The Fear of Art: Who Does the Policing? What Is the Role of Self-Censorship? - Video
Lebanese Artists Push Back Against State Censorship
In religiously-diverse Lebanon, some residents see censorship of arts and culture as a necessary way to keep the peace and preserve morals. However, artists ...
By: VOAvideo
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Laying the Groundwork for Official Censorship: Obama and the FCC
On February 26th, 2015, the FCC will adopt 332 pages of undisclosed regulations regarding net neutrality. These regulations have been proposed by unelected (and therefore unaccountable) FCC...
By: Solomon Overboard
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Laying the Groundwork for Official Censorship: Obama and the FCC - Video
Censorship by Google is Google's removal or omission of information from its services or those of its subsidiary companies, such as YouTube, in order to comply with its company policies, legal demands, or various government censorship laws.[1]
In February 2003, Google stopped showing the advertisements of Oceana, a non-profit organization protesting a major cruise ship operation's sewage treatment practices. Google cited its editorial policy at the time, stating "Google does not accept advertising if the ad or site advocates against other individuals, groups, or organizations."[2] The policy was later changed.[3]
In April 2008, Google refused to run ads for a UK Christian group opposed to abortion, explaining that "At this time, Google policy does not permit the advertisement of websites that contain 'abortion and religion-related content.'"[4]
In April 2014, though Google accepts ads from the pro-choice abortion lobbying group NARAL, they have removed ads for some anti-abortion crisis pregnancy centers. Google removed the Web search ads after an investigation by NARAL found evidence that the ads violate Google's policy against deceptive advertising. According to NARAL, people using Google to search for "abortion clinics" got ads advertising crisis pregnancy centers that were in fact anti-abortion. Google said in a statement that it had followed normal company procedures in applying its ad policy standards related to ad relevance, clarity, and accuracy in this case.[5][6]
In early 2006, Google removed several news sites from its news search engine due to hate speech stating that, "We do not allow articles and sources expressly promoting hate speech viewpoints in Google News, although referencing hate speech for commentary and analysis is acceptable". The sites removed from Google News remain accessible from Google's main search page as normal.[7][8][9]
In March 2007, allegedly lower resolution satellite imagery on Google Maps showing post-Hurricane Katrina damage in the U.S. state of Louisiana was replaced with higher resolution images from before the storm.[10] Google's official blog of April revealed that the imagery was still available in KML format on Google Earth or Google Maps.[11][12]
In March 2008, Google removed street view and 360 degree images of military bases per the Pentagon's request.[13]
To protect the privacy and anonymity of individuals Google Street View in Google Maps and Google Earth shows photographs containing car license number plates and people's faces by blurring them. Users may request further blurring of images that feature the user, their family, their car or their home. Users can also request the removal of images that feature inappropriate content.[14] In some countries (e.g. Germany) it modifies images of specific buildings.[15] In the United States, Google Street View adjusts or omits certain images deemed of interest to national security by the federal government.[13]
As of May 2013, Google Play forbids AT&T users from downloading Open Garden, a wireless mesh network platform, which it lists as "incompatible" at the request of the carrier.
On 12 December 2012, Google removed the option to turn off the SafeSearch image filter entirely, forcing users to enter more specific search queries to get adult content.[16][17][18]
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Published on February 20, 2015 Other news
HARARE, Zimbabwe - Zimbabwe's censorship board says erotic scenes from the film Fifty Shades of Grey must be deleted before it is shown in this southern African country.
On Friday, Board of Censors secretary Isaac Chiranganyika said some scenes in the film adaptation of E.L. James' novel are too indecent to be shown in public.
One theatre in the capital Harare said it won't show the film because heavy censorship would remove too much. Other theatres agreed to run the chopped-up version.
Board of Censors chairman Heya Malaba, 95, has been uncompromising about erotic movie scenes in the past.
Harare resident Stam Zengeni says he is unconcerned about censorship. He plans to buy a pirate copy of the film for $1.
Organizations: Board of Censors
Geographic location: Zimbabwe, HARARE
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Zimbabwe's censorship board demands that erotic scenes of Fifty Shades of Grey film be edited
Story highlights John Sutter talks with artist Mishka Henner about his "Dutch Landscapes" series The series focuses on an artful effort by the Dutch government to censor Google Maps
It would be hard not to smile, right?
I mean, what is that alien thing?
An oversized kaleidoscope?
A rip in the Matrix?
Some kind of freakish, town-sized cauliflower?
When Mishka Henner, a 38-year-old artist and photographer, came across these "blurred" images of Dutch landscapes on Google Maps, he was similarly perplexed and amused.
"Well, I laughed," he said of the initial discovery.
The hidden zones are "not only bases, they're also royal palaces and fuel depots and ammunition depots and that sort of thing," Henner told me. The Dutch government "used a pretty spectacular method for hiding these locations, which does everything but hide them, basically."
Photographer Mishka Henner
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