Who Will Save Londons Nightlife? – HYPEBEAST

In early July, a few of Londons nightlife spaces slowly began to creak open. The Glory, a queer performance pub in Haggerston, has opened its doors following a new set of unusual, but necessary, coronavirus guidelines set out by the government. Around England, table service is mandatory (unless its not possible), serving assistants are clad in face masks and surfaces are anti-bacced to an inch of their inanimate lives. Despite the quiet music, lack of bar service and the fact that punters arent able to sit near each other or dance, the pub experience is surprisingly more personal, and revelers (like myself) have appreciated the intimacy of sitting down. While pubs and bars have received the green light to reopen, nightclubs have not received the same amount of attention from officials. It is far more difficult to maintain social distancing on a dance floor, so for now, these spaces are closed for the foreseeable future.

Even aside from the challenges of reopening in the midst of a pandemic, Londons nightlife has a mountain to climb. Today, the hospitality industry has to face rising costs (rent, overheads, events, supplies) and a growing generation of punters that seem less interested in clubs. In 2015, the BBC reported that nearly half of the U.K.s nightclubs had shut their doors in the previous 10 years. Jonny Woo, a co-owner of The Glory, reminds us of that reality: Nightlife thrives on its underground scene and as clubs are forced to have ever more present security and prices for drinks go up because the overheads are so high; the wild, hedonistic nature of clubbing gets strangled.

The Glory

The Glory

There are other issues to consider, too. In 2016, Fabric one of Londons best-known and most beloved techno clubs was forced to close its doors following two drug-related deaths (although it has since reopened thanks to a petition appeal that attracted over 160,000 signatures). Its hard to avoid the feeling that the nightlife industry might just be having its last dance.

Such petitions show how important and powerful community spirit is to many pubs, bars and nightclubs. Josh Caffe, a seasoned member of the underground house and techno scene known for his nights with Love Child LDN, reminisces on nightlife not too long ago. Despite all the challenges and closures London nightlife was experiencing, people were out in full force to support the ones that were pushing on.

When the line-ups are more mixed the crowds are too, because if you look up and see someone on stage from a DJ to a dancer who looks like you, it lets you know its a place for you.

Woo also noted another critical component of the future of nightlife: the threat of gentrification. He says, Clubs are already at risk due to lack of space in central London, the proliferation of flat building which is turning non-residential areas into areas with high-density accommodation and rent prices going up. Clubs will be the last to open, and I worry that the spaces that are left may be in danger if they remain closed for too long.

Prior to the coronavirus outbreak, Londons nightlife especially in the LGBTQ+ scene was thriving. I think the queer scene in London is the best its been since I moved to London 15 years ago, says Steven Braines, co-founder of the international house and techno event series HE.SHE.THEY., a place without prejudice for people to be people. There is a camaraderie between nights that didnt exist when I first hit the scene. It was a lot more competitive than collaborative. There are a lot of people using their nights as agents for change within the queer community, they added in reference to collectives like BBZ, Pxssy Palace and Sink the Pink.

HE.SHE.THEYGemma Bell

HE.SHE.THEYGemma Bell

Pioneering collectives such as HE.SHE.THEY. and pubs like The Glory strive to provide a safe space, and showcase talent and creativity. Through this, they create a sense of community within LGBTQ+ culture as well as for other marginalized groups. HE.SHE.THEY. literally exists to break up the straight, white male-monopoly of most big clubs Even queer clubs are often gay, white male-dominated spaces. When the line-ups are more mixed the crowds are too, because if you look up and see someone on stage from a DJ to a dancer who looks like you, it lets you know its a place for you; that youre represented and welcomed in the space. Its very simple, say Braines and HE.SHE.THEY. co-founder Sophia Kearney.

All venues are a place for people to come together. In todays coronavirus climate, bringing people together takes place on Zoom, where the act has taken on a new form. Whereas nightclubs and pubs serve as a place for hedonism, Instagram Live streams and Google Hangouts have become the venues way of keeping its community feeling loved. This has been successful for many, such as Love Child LDN and its TALKS series that has truly helped its community.

Community is at the forefront of a good night. At a time when were arguably more connected than ever before thanks to social media, the likes of HE.SHE.THEY. are using platforms not just to reach out to people but for positive change. We like to amplify different voices, suggest people who are interesting to be followed, shed light on causes, protests, charities we like. Its a watershed moment for change with Black Lives Matter, the continuing transformative power of #MeToo and a push back against the erosion of LGBTQIA+ rights, especially for the trans community. Our community is a broad church and what we do is intrinsically political as it is ideological. House and techno are political at their roots, say Braines and Kearney.

Fold

Fold

Fold

FOLD, a venue built with artists and audiences at the forefront of everything, also has community at its core. FOLDs nights are compelling enough to make you come out [of their venue] with another view on things. David Conde, head of marketing and communications at FOLD, thinks the community is not just what is keeping venues afloat but will see them thrive hereafter. He says, We have a very strong community at FOLD, we have thankfully been able to stay connected through technology. Social media has allowed our community to stay united and active, through our live streams, releasing online content and spotlighting local talent. Streaming and online contact is crucial to keeping connected and providing for the communities we support until we can open back up and celebrate under one roof again.

Since the lockdown, the world has experienced an uprising in the Black and POC communities.Social uprising and recent events have encouraged people to educate themselves. Venues can, and are, doing the same. Speaking on behalf of FOLD, Conde says, Since its inception, FOLD has been built on fundamental policies and taken measures to ensure that POC, women, members of the LGBTQ+ community, as well as other minority groups, feel represented and safe whilst attending events. This message of inclusivity is exercised through training in inclusion and awareness. This is also maintained by FOLD being active members of the communities it represents. These are our people, adds Conde.

If theres one thing that weve learned from closures, its that once these venues go, they dont come back.

The pandemic might act as a reset for many venues. This is a moment for organizers to rethink their approach, or to regenerate an underground scene that goes against the bourgeoisie. Or, as Conde says, it could give people time to think about what is necessary and what isnt. FOLD, The Glory, Sink the Pink, HE.SHE.THEY. and more are intrinsic in queer culture (and arguably society as a whole, albeit for different reasons). Nightlife is necessary, so much of the magic and beauty of nightlife comes from being under one roof, sharing the space, and we cant wait to have that back, adds Conde. The time off has allowed those like Conde and FOLD to further connect with their audiences, expand upon its sense of community, and for many, realize the importance it plays in many peoples lives. The cultural and social importance of these places is invaluable, despite what developers and accountants say, says Caffe.

Josh Caffe By Matt Hass Photography

The so-called reset is what could save Londons nightlife. Nightlife venues alone cant address the fact that queer people of color feel pushed out of many spaces; theres more that everyone can do. In a recent HYPEBEAST article, many queer people of color, and other members of the LGBTQ+ scene, spoke about people being pushed out of a lot of venues queer-centric or not.

As venues reopen, they need to look at how their internal policies can better support everyone in the community that has in turn supported them. I think there needs to be more LGBTQ+ POC inclusion on line ups. It gets exhausting and frustrating still seeing all-white lineups especially for nights or clubs that center their music around house and techno, says Caffe. While venues like those listed above are positively promoting inclusivity, the same cannot be said for all clubs across the country.

The overarching theme in order to save Londons nightlife is community, inclusivity and awareness. In the same vein, many people also just want a traditional local pub to go to. We talk a lot about losing queer venues, but no one talks about the community pub thats been there for years and becomes a hipster pub or a gastropub. [It] presents in such a way and has price points too high, so they feel very unwelcoming to the long-term local residents, says Woo. Such places thrived off community, and as Caffe reminds us all, If theres one thing that weve learned from closures, its that once these venues go, they dont come back.

While London definitely isnt the night-time mecca it used to be, many believe there is a future after COVID-19. Despite Woos realistic attitude, hes confident that there will always be individuals and small groups who want to do things their way, and they will find spaces to do it in. And these places thrive off of community. Theyre just like FOLD, The Glory, HE.SHE.THEY. and more. Its about the people that are keeping not just these venues open, but spirits alive. As Conde says, Everyone coming together to show their support proves there is a future for independent nightlife spaces and, in fact, with backing, we will flourish.

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Who Will Save Londons Nightlife? - HYPEBEAST

Scotland on Sunday Travel – House of Gods, Edinburgh – The Scotsman

LifestyleTravelDo Not Disturb hotel review

Monday, 20th July 2020, 2:07 pm

For those keen to escape the lethargy of lockdown, an overnight stay at Edinburghs latest cocktail-bar-cum-hotel, House of Gods, is an immersive experience that you wont forget in a hurry.

Opened in September 2019, House of Gods is a 22-room boutique hotel and cocktail bar just off Edinburghs Royal Mile. The mix of OTT interiors, lavish furnishings and hand-finished details offer a wow-factor thats usually only seen in high end abodes. Years spent working in London opened the eyes of brothers and owners, Ross and Mike Baxter, to a world of unapologetic luxury which was dampened by industry exclusivity, financial barriers and blown up price points. Both felt that there was a real desire for something luxurious and unique but affordable, and after a move home to Edinburgh, House of Gods was born.

Speaking at the time of opening, Mike Baxter said: From spending weekends on the road to individually collect 20 antique Chiavari chairs before reupholstering each in House of Hackney fabrics, to storing a free-standing nickel-plated bathtub in my loft for the past eight years, weve built this place with zero compromise.

The whole ethos of House of Gods is total bonkers boutique luxury thats available for everyone. The price reflects this, ranging from 80-150 per room, with an in-room continental breakfast included.

The rooms, which range from cosy cabins through to four-poster classic rooms to spacious suites feature luxurious dark red velvet wall coverings, with private bars hidden behind antique mirrors and floor-to-ceiling marble in every oak-panelled en-suite. The inspiration for the room design is the old-world decadence of the original Orient Express cabins with the addition of mod cons such as flat-screen TVs and Nespresso machines. Tactile furnishings in more velvet and fake fur plus moody lighting give a rock and roll edge.

In the cabin or classic rooms the bathrooms are marble-clad shower rooms whereas the suite boasts an oak-panelled bathroom with freestanding Victorian tub. Each is complete with sweet-smelling Cole and Lewis toiletries.

In the rooms guests will find a wifi enabled butler button which they can use to call for prosecco, breakfast or milk and cookies all complimentary. There is also an option to have cocktails delivered from the bar to rooms, or made in the corridor in front of guests. Rooms are sanitised before the housekeeping staff arrive, so an in-depth clean is done daily.

At House of Gods theres only wining (although breakfast is available) at the Lounge Bar, which features huge panels of Gucci Heron wallpaper, neon signs and Rosso Levanto Red Marble bar tops. The refined dcor is juxtaposed with an overhanging giant disco ball. The bar is home to a bespoke cocktail menu inspired by rock and rolls Bohemian past, with drinks named after tales of hotel hedonism and debauchery. It has been renovated to create a socially distanced space for customers, with Victorian-style screens and drapery to separate areas theres no perspex here.

Worth getting out of bed for

Located in the Cowgate, just off the Grassmarket, Edinburgh Castle, Holyrood Palace and a range of restaurants are within walking distance. Its worth checking whats open and most restaurants and bars will be taking bookings at this time.

If you really want to immerse yourself in all the hotel has to offer, the treat me like Im f*****g famous package is ideal. Designed to include additions that would feature on riders of the rich and famous, the package includes unlimited prosecco, millionaire cocktails, a macaron platter, late checkout and an upgraded breakfast no request is too rocknroll here. The hotel has partnered with an Italian winery to bottle a House of Gods prosecco, which is available on request.

A novel and hedonistic nirvana in Edinburghs city centre, where more is always more. Custom built to pique your curiosity and immerse you in a world of luxury thats usually reserved for the worshipped.

Rooms from 80-150 per room, House of Gods, 139 Cowgate, Edinburgh, EH1 1JS (0131-230 0445, houseofgodshotel.com)

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Scotland on Sunday Travel - House of Gods, Edinburgh - The Scotsman

Throwback to the 1970s: Netanyahu is facing his own Yom Kippur War – Haaretz

Theres a clear similarity between the present situation of Prime Minister Benjamin Netanyahu and the collapse of the Alignment (Labor Party) in 1977. In the preceding years, the Alignment was subject to criticism and accusations of corruption and immorality, a result of too many years in power. And at the same time, the majority of his supporters remained loyal to him, claiming that it was impossible to place Israels security in the hands of Menachem Begin.

LISTEN: Protests, pandemics and Netanyahu's day of reckoningHaaretz

However, the Yom Kippur War diminished the aura of national security surrounding the Alignment. That opened the door to many other complaints, which had been sidelined due to the security halo.

Although Netanyahu has conducted three consecutive election campaigns while burdened with serious indictments, and asked for the citizens trust in a government that was tainted with clear signs of corruption, his supporters claimed that he shouldnt be replaced due to his successes in economic matters.

Something wrong? they said. Were buying, traveling abroad, the restaurants are full, people are enjoying themselves here. Today, when the economy is in tatters and the coronavirus pandemic is not being managed, Netanyahu looks like a leader who has lost his way. His unique advantage has become a total disadvantage. He is no longer immune.

To understand the extent to which his situation has worsened, we have to ask whether he would dare today to stand in the courtroom and revile the legal system, as he did on May 24. Of course not. At the time he was seen as a magician who had eliminated the coronavirus, and thats what he was relying on.

He has run out of credit. Netanyahu is failing at management constantly changing decisions, engaging in petty politics, such as excluding the defense establishment from managing the virus due to political and party-related motives. He has cooked his own goose.

The demonstrations against him are authentic. Some are effective but some are actually helping him, unwittingly. For example, I read, even in Haaretz, many words of praise for the exceptional energy of the young people in front of the the prime ministers Balfour Street residence, who are storming the place like they want to conquer the Bastille. Those who support every protest are demonstrating great disdain for those who are meticulous about petty issues and arent rising to the magnitude of the moment.

I dare to oppose the storming of the prime ministers residence by some of the demonstrators, and their willingness to clash with policemen. How will the opposition to the continuation of Netanyahus rule benefit from physical confrontation with policemen on the way to conquering the fortress? Any step that helps him by reinforcing his image as a victim is ineffective from the point of view of those who want to remove him from power.

Netanyahu is not falling due to the corruption, or the danger to democracy, the sickening import of Trumpism; he is falling due to failures that are harming every citizen. Those involved in this protest, which is socioeconomic in nature, are likely to bring down his government. At the same time, the collapse of the main foundation on which his rule was based the citizens sense of economic security has provided the opening for intensified criticism on the social networks and in the media over the corruption and hedonism of Netanyahu and his family.

Clearly Netanyahu is not to blame for the coronavirus outbreak. But his handling of the crisis attests to an inability, in terms of mentality and leadership qualities, to deal with genuine crisis situations, as opposed to imaginary crisis situations, some of which he created.

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It looks like 2020 is more dangerous for the nation and the country than 1977. But it is just this danger that may bring out the best people from among us, on the way to a change in the face of Israel.

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Throwback to the 1970s: Netanyahu is facing his own Yom Kippur War - Haaretz

Stream It Or Skip It: ‘The Business of Drugs’ on Netflix, a Documentary Series About the Ins and Outs of Controlled-Substance Trades – Decider

The Business of Drugs is Netflixs new newsy docu-series, a six-episode investigative analysis of controlled substances and their place in international society. Our host is Amaryllis Fox, a former kid CIA agent she was recruited at age 21 who hopped the globe fighting the war on terror until 2010; in 2019, she wrote a book about her experiences, which will soon be an Apple TV+ series starring Brie Larson. Foxs voice gives The Business of Drugs a knowledgeable, engaging tone, making it more along the lines of Dirty Money journalism than Tiger King sensationalism.

Opening Shot: An overhead shot of a massive villa flanked by a fancy pool and palm trees, lit up at night.

The Gist: Episode one digs into the cocaine biz, and its glib before its serious: Once a mostly harmless leafy pick-me-up for the indigenous people of South America, the modern story of cocaine goes like so: Freud, Pablo Escobar, disco hedonism, Wall Street hedonism, crack, El Chapo, more Wall Street hedonism, Fox narrates. She briefly introduces herself before sitting down with a ski-masked Los Angeles drug dealer identified only as Roy; his dad dealt coke, and now he does too, in small quantities because if he gets busted, the charges arent as severe.

Fox interviews a doctor who explains the addictive properties of cocaine, and a Yale professor who breaks down some of the economic context of the drug trade. She goes to Colombia, the apex of coca plant growth thanks to swaths of unoccupied land and an ideal climate. Farmers grow and harvest the leaves, hand them off to labs in the middle of the jungle that mash them into a paste, which is then sold to cartels, who process it into powder, and take it to the massive Buenaventura port, where its hidden in exported goods. Fox hangs out with one middleman who crams packages of cocaine inside stuffed kittens inside kiddie backpacks, then hops into a tiny canoe and heads to a dropoff point; he risks his well-being to make a measly $300 for every drop. She also watches as military workers rip up coca plants in the jungle. At the port, others tackle the needle-in-a-haystack job, probing a few among hundreds of sacks of coffee; they find 56 kilos stuffed in a ships propeller compartment, worth $4.6 million in U.S. street value.

Oh, by the way, heres a statistic for you: the Colombian government spends a lot of money (how much exactly, the doc doesnt say) to seize five tons of coke annually, out of 1,400 tons distributed. Cartels sell $24 BILLION worth of cocaine every year just to the United States. As they say, LET THAT SINK IN. Fox heads to Mexico, where a couple guys hang out with a pallet stacked with $8 million worth of cocaine, then load it up for a trip to the border. Just south of El Paso, Texas, the tunnels distributors used to use to get the product across the border are obsolete. Now, theyre mixed in with other goods in trucks, sometimes without the drivers even knowing. Fox wraps it up, and I paraphrase: Legalization may seem extreme, but many lives are lost and a lot of money is spent as governments battle these black-market monopolies. What the hell are we doing?

Our Take: Curious, how the first episode of Business opens with that spiel about Freud and Wall Street and all that, then never bothers to elaborate on it, or even return to that arch, colorful tone. It quickly settles into the nitty-gritty of the ins and outs of the cocaine trade, tosses in a few op-ed assertions, a handful of whopper statistics and some fascinating firsthand accounts by individuals participating in low-level criminal activity, then gets out in an all-too-brief 45 minutes.

Foxs presence is strong, credible and down-to-earth qualities necessary for gaining access to men working on coca farms in Columbia, in drug safehouses in Mexico and on the streets of Compton. Director Matthew Heineman did similar things in gripping feature doc Cartel Land, but gave us a deeper and more palpable sense of being embedded smack in the middle of dangerous business.

Youll like Fox, but wish she was more assertive. The episode focuses on production and distribution aspects of the business, and relegates the effects of that business deaths, poverty to a few brief inferences. Its black market commerce, so of course it has detrimental effects on societys structure and people. The doc presents an outline chock-full of facts and a fair amount of heady analysis, but fails to flesh it out with any content about the effects of cocaine on humanity; its just a given that its bad, I guess, so it skips the heart and goes for the head. Fox makes a few tossed-off statements about legalization; notices how the area surrounding Buenaventura is horribly stricken with poverty but offers no data relating to it; and implies that the war on drugs is a fruitless enterprise perpetuated by wrongheaded governments. But she never really stirs up the moral outrage that would make her arguments more compelling.

Parting Shot: Roy walks down a dark, damp L.A. alley, presumably to resume his drug-dealing business.

Sleeper Star: How about every person crazy/brave enough to go on camera even with ski-mask on and voice altered and talk about the illegal stuff they do every day?

Most Pilot-y Line: Fox: Ive seen this kind of thing with the war on terror a ton of money spent with little effective result.

Our Call: I hesitate to say STREAM IT. The first episode of The Business of Drugs feels incomplete, and maybe a little wishy-washy. But youll learn something anyway, and future episodes addressing heroin, meth and opioids carry promise.

John Serba is a freelance writer and film critic based in Grand Rapids, Michigan. Read more of his work at johnserbaatlarge.com or follow him on Twitter: @johnserba.

Stream The Business of Drugs on Netflix

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Stream It Or Skip It: 'The Business of Drugs' on Netflix, a Documentary Series About the Ins and Outs of Controlled-Substance Trades - Decider

What is Artificial Intelligence? How Does AI Work? | Built In

Can machines think? Alan Turing, 1950

Less than a decade after breaking the Nazi encryption machine Enigma and helping the Allied Forces win World War II, mathematician Alan Turing changed history a second time with a simple question: "Can machines think?"

Turing's paper "Computing Machinery and Intelligence" (1950), and it's subsequent Turing Test, established the fundamental goal and vision of artificial intelligence.

At it's core, AI is the branch of computer science that aims to answer Turing's question in the affirmative. It is the endeavor to replicate or simulate human intelligence in machines.

The expansive goal of artificial intelligence has given rise to manyquestions and debates. So much so, that no singular definition of the field is universally accepted.

The major limitation in defining AI as simply "building machines that are intelligent" is that it doesn't actually explain what artificial intelligence is? What makes a machine intelligent?

In their groundbreaking textbook Artificial Intelligence: A Modern Approach, authors Stuart Russell and Peter Norvig approach the question by unifying their work around the theme of intelligent agents in machines. With this in mind, AI is "the study of agents that receive percepts from the environment and perform actions." (Russel and Norvig viii)

Norvig and Russell go on to explore four different approaches that have historically defined the field of AI:

The first two ideas concern thought processes and reasoning, while the others deal with behavior. Norvig and Russell focus particularly on rational agents that act to achieve the best outcome, noting "all the skills needed for the Turing Test also allow an agent to act rationally." (Russel and Norvig 4).

Patrick Winston, the Ford professor of artificial intelligence and computer science at MIT, defines AI as "algorithms enabled by constraints, exposed by representations that support models targeted at loops that tie thinking, perception and action together."

While these definitions may seem abstract to the average person, they help focus the field as an area of computer science and provide a blueprint for infusing machines and programs with machine learning and other subsets of artificial intelligence.

While addressing a crowd at the Japan AI Experience in 2017, DataRobot CEO Jeremy Achin began his speech by offering the following definition of how AI is used today:

"AI is a computer system able to perform tasks that ordinarily require human intelligence... Many of these artificial intelligence systems are powered by machine learning, some of them are powered by deep learning and some of them are powered by very boring things like rules."

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What is Artificial Intelligence? How Does AI Work? | Built In

What is Artificial Intelligence (AI)? – Definition from …

While AI often invokes images of the sentient computer overlord of science fiction, the current reality is far different. At its heart, AI uses the same basic algorithmic functions that drive traditional software, but applies them in a different way.

A standard warehouse management system, for example, can show the current levels of various products, while an intelligent one could identify shortages, analyze the cause and its effect on the overall supply chain, and even take steps to correct it.

Artificial intelligence can be allowed to replace a whole system, making all decisions end-to-end, or it can be used to enhance a specific process.

For example, analyzing video footage to recognize gestures, or replacing peripheral devices (keyboard, mouse, touchscreen) with a speech to text system., giving the impression that one is interacting with a sentient being.

Just as philosophers debate the nature of man and the existence of free will, computer science experts debate the various types of AI.

Capable of performing only a limited set of predetermined functions; think, autonomous cars, retail kiosks, etc.;

Said to equal the human minds ability to function autonomously according to a wide set of stimuli;

Which will one day exceed human intelligence (and conceivably take over the world).

At the moment, Narrow AI is only beginning to enter mainstream computing applications.

Can only react to existing situations, not past experiences.

Relies on stored data to learn from recent experiences to make decisions.

Capable of comprehending conversational speech, emotions, non-verbal cues and other intuitive elements;

Human-level consciousness with its own desires, goals and objectives.

A good way to visualize these distinctions would be an AI-driven poker player. A reactive machine would base decisions only on the current hand in play, while a limited memory version would consider past decisions and player profiles.

Using Theory of Mind, however, the program would pick up on speech and facial cues, and a self-aware AI might start to consider if there is something more worthwhile to do than play poker.

AI is currently being applied to a range of functions both in the lab and in commercial/consumer settings:

Allows intelligent systems to convert human speech into text or code.

A subset of speech recognition, enables conversational interaction between humans and computers.

Allows a machine to scan an image and identify it using comparative analysis.

Perhaps the most revolutionary aspect of AI, however, is that it allows software to rewrite itself as it adapts to its environment.

Unlike traditional upgrade programs that take years and are often buggy, or even newer DevOps processes that push changes quickly with less disruption, AI allows a given program to optimize itself to highly specialized use cases.

This should not only lower the cost of software licensing and support, it should provide steadily improving performance and the development of unique processes that deliver crucial advantages in an increasingly competitive economy.

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What is Artificial Intelligence (AI)? - Definition from ...

Artificial Intelligence – Overview – Tutorialspoint

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Since the invention of computers or machines, their capability to perform various tasks went on growing exponentially. Humans have developed the power of computer systems in terms of their diverse working domains, their increasing speed, and reducing size with respect to time.

A branch of Computer Science named Artificial Intelligence pursues creating the computers or machines as intelligent as human beings.

According to the father of Artificial Intelligence, John McCarthy, it is The science and engineering of making intelligent machines, especially intelligent computer programs.

Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.

AI is accomplished by studying how human brain thinks, and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems.

While exploiting the power of the computer systems, the curiosity of human, lead him to wonder, Can a machine think and behave like humans do?

Thus, the development of AI started with the intention of creating similar intelligence in machines that we find and regard high in humans.

To Create Expert Systems The systems which exhibit intelligent behavior, learn, demonstrate, explain, and advice its users.

To Implement Human Intelligence in Machines Creating systems that understand, think, learn, and behave like humans.

Artificial intelligence is a science and technology based on disciplines such as Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering. A major thrust of AI is in the development of computer functions associated with human intelligence, such as reasoning, learning, and problem solving.

Out of the following areas, one or multiple areas can contribute to build an intelligent system.

The programming without and with AI is different in following ways

In the real world, the knowledge has some unwelcomed properties

AI Technique is a manner to organize and use the knowledge efficiently in such a way that

AI techniques elevate the speed of execution of the complex program it is equipped with.

AI has been dominant in various fields such as

Gaming AI plays crucial role in strategic games such as chess, poker, tic-tac-toe, etc., where machine can think of large number of possible positions based on heuristic knowledge.

Natural Language Processing It is possible to interact with the computer that understands natural language spoken by humans.

Expert Systems There are some applications which integrate machine, software, and special information to impart reasoning and advising. They provide explanation and advice to the users.

Vision Systems These systems understand, interpret, and comprehend visual input on the computer. For example,

A spying aeroplane takes photographs, which are used to figure out spatial information or map of the areas.

Doctors use clinical expert system to diagnose the patient.

Police use computer software that can recognize the face of criminal with the stored portrait made by forensic artist.

Speech Recognition Some intelligent systems are capable of hearing and comprehending the language in terms of sentences and their meanings while a human talks to it. It can handle different accents, slang words, noise in the background, change in humans noise due to cold, etc.

Handwriting Recognition The handwriting recognition software reads the text written on paper by a pen or on screen by a stylus. It can recognize the shapes of the letters and convert it into editable text.

Intelligent Robots Robots are able to perform the tasks given by a human. They have sensors to detect physical data from the real world such as light, heat, temperature, movement, sound, bump, and pressure. They have efficient processors, multiple sensors and huge memory, to exhibit intelligence. In addition, they are capable of learning from their mistakes and they can adapt to the new environment.

Here is the history of AI during 20th century

Karel apek play named Rossum's Universal Robots (RUR) opens in London, first use of the word "robot" in English.

Foundations for neural networks laid.

Isaac Asimov, a Columbia University alumni, coined the term Robotics.

Alan Turing introduced Turing Test for evaluation of intelligence and published Computing Machinery and Intelligence. Claude Shannon published Detailed Analysis of Chess Playing as a search.

John McCarthy coined the term Artificial Intelligence. Demonstration of the first running AI program at Carnegie Mellon University.

John McCarthy invents LISP programming language for AI.

Danny Bobrow's dissertation at MIT showed that computers can understand natural language well enough to solve algebra word problems correctly.

Joseph Weizenbaum at MIT built ELIZA, an interactive problem that carries on a dialogue in English.

Scientists at Stanford Research Institute Developed Shakey, a robot, equipped with locomotion, perception, and problem solving.

The Assembly Robotics group at Edinburgh University built Freddy, the Famous Scottish Robot, capable of using vision to locate and assemble models.

The first computer-controlled autonomous vehicle, Stanford Cart, was built.

Harold Cohen created and demonstrated the drawing program, Aaron.

Major advances in all areas of AI

The Deep Blue Chess Program beats the then world chess champion, Garry Kasparov.

Interactive robot pets become commercially available. MIT displays Kismet, a robot with a face that expresses emotions. The robot Nomad explores remote regions of Antarctica and locates meteorites.

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Artificial Intelligence - Overview - Tutorialspoint

Pros and Cons of Artificial Intelligence 2020 (Top 20)

Currently, artificial intelligence is one of the hottest topics, in the real world and on the internet. On a daily basis, we are witnessing controversial claims about the pros and cons of the technology, ranging from: "it will help us erase all diseases", to "it will erase the human race".

Nowadays, we are leaning towards thinking about the technology like it has some superpowers that can solve all types of issues that we are and will be facing in the future or just the opposite, it will create some of the worst problems that we have ever imagined.

But in reality, is there any truth in these beliefs? Are we about to lose or gain more with the adoption of artificial intelligence?

The opinions are far too polar, but the truth is that the buzz around artificial intelligence is unreasonable. It is not our savior, nor our destroyer. And it doesn't seem it can become such in the near future.

In reality, the idea of a thinking machine is as old as the concept of modern computing, dating back to the 1950s.

However, it was the last decade that saw the biggest progress in the development of artificial intelligence. In finance, artificial intelligence stock trading software became popular, and also the health care sector benefits from AI.

This contributed to the tremendous hype around the technology which painted it in a way-too-perfect or, on the other hand, way-too-unpleasant picture.

Besides, the popularity of artificial intelligence grew at the expense of distorting some of the available information.

Due to this, to most people, the perception of the technology is often confusing. In the following article, we are about to go through the top 20 pros and cons of artificial intelligence to bust the myths, surrounding its adoption, application and advantages.

An undeniable fact is that AI is capable of helping us solve complex tasks and improve our quality of life in a way that was unthinkable, just a few years ago. Here are some of the main advantages of artificial intelligence that prove why it is so important to continue focusing on its development:

Artificial intelligence helps deal with time-consuming and daunting tasks, such as credit scoring, performing background checks, analyzing documentation and drafting conclusions, etc.

High-processing computer power, backed with efficient algorithms allow companies to significantly optimize their processes. For example, JP Morgan's Contract Intelligence system (COIN. is able to significantly shorten the time needed to interpret commercial loan agreements.

The bank reveals that the 12 000 contracts that are being processed on an annual basis are now analyzed in a matter of seconds, instead of the 360 000 hours that employees previously needed in order to fulfil such task.

The chance to eliminate such mundane tasks from human workload schedule helps increase productivity and frees up time for handling more complex tasks.

One of the most daunting processes within financial institutions is fraud detection. Artificial intelligence helps optimize such time-consuming and complex tasks by employing advanced techniques such as pattern-recognition.

That way, oversight authorities and lenders can easily detect frauds and money-laundering.

Due to the high efficiency of the employed algorithms, the several factors (origin/destination of the payment, customer name, business entity details, history and etc.. that should be taken in mind for fraudulent activities to be detected, are processed in a quick and optimized way.

As human's workload increases, the efficiency and accuracy of the performed tasks decreases, thus making the individual's work more prone to errors. With machines, there is no such risk as everything works exactly as programmed.

This is a very important advantage for high-precision works in sectors such as space exploration, where there are no margins for error.

The automation of processes within institutions helps reduce costs and improve operations. By delegating low-level tasks to computers, companies are able to reduce their staff and cut their wage bill.

Artificial intelligence contributes to the financial health of the company in the regard that the only investment that is needed is the initial one for the development and the integration of the system. On the other hand, if the same tasks were performed by humans, the costs will be ongoing each month.

Figures from Stanford University's Annual Artificial Intelligence Index Report highlight the remarkable recent boom in the AI niche with 14x more active US startups focused on AI development since 2000.

Apart from that, the study points out that today there are 6x more annual VC investments into U.S. Artificial Intelligence startups since 2000, as well as 4.5x more jobs requiring Artificial intelligence skills, when compared to the last 5 years.

PwC's Global AI Study estimates that global GDP will be 14% higher by 2030 thanks to AI adoption, which makes it one of the biggest contributors to global growth.

Robots are capable of helping us mitigate the risk for human lives during dangerous missions, such as exploring the ocean, navigating hard-to-reach areas after floods, fires, earthquakes or hurricanes, researching mining areas, etc.

This helps us gain valuable insights and analyze important information, but without having to risk human lives.

Today, the adoption of artificial intelligence in our everyday lives is constantly growing.

From the smartphones that we use, through our cars, classic brokerage accounts, to social media, modern investment apps, e-commerce and even at our work desk; AI is touching almost every aspect of our day-to-day activities and helps us improve our daily routines.

Applying artificial intelligence in healthcare has many benefits. Today, the technology is widely adopted in medicine, mostly for the purpose of diagnosing.

Thanks to its efficiency when scanning large chunks of data, algorithms can quickly, efficiently, and more importantly; correctly analyze the condition of a given patient. This has proven very helpful in the process of predicting diseases.

Apart from that, by employing image recognition techniques, computers can help provide a more accurate diagnose and assign a more comprehensive treatment. Artificial intelligence applications can also help inform the doctors about the side effects of particular drugs or the combination of such.

Robots have proved very successful in conducting test surgeries that are harder-to-perform by human doctors.

Artificial intelligence-based solutions help companies develop products and services that are tailored exactly according to their customers' needs and preferences.

In the digital marketing industry, for example, AI-based solutions help increase users' engagement, as well as improve the customers' loyalty. All this usually results in growing sales and better financial results.

In the finance industry, A.I. assistants, due to the flexibility and the efficiency that they guarantee, are now steadily penetrating the wealth management niche with Robo Advisor investment services along with automated self learning day trading expert advisors.

That way, by requesting basic information about the particular client, the digital consultant can suggest suitable products or portfolio diversification scenarios that can help clients achieve their goals.

AI helps start-ups and existing businesses to operate way more efficiently and at reduced costs. The consequence of this is the company's ability to invest in research and development, marketing or other highly-important business processes, as well as to resist numerous operational risks.

For example, today, a company can start a business with way less investment, when compared to a decade ago, thanks to all the available information, the digitalization of the economy and the connectedness of the world we live in.

Artificial intelligence usually contributes to executing mundane tasks by eliminating the need of hiring people for low-skilled work. Apart from that, it is capable of handling way bigger workload, which contributes to the company's overall productivity and efficiency.

Start-ups and existing companies nowadays usually dedicate their first-level support to bots which are programmed in a way that allows them to fulfil all the tasks, typical for the support staff. A company can run its business with a few employees, by automating most of its processes, from production to customer support.

Apart from all the benefits it brings, artificial intelligence has some negatives as well. This is the reason why it is often described as the villain that will take over our world, steal our jobs and transform our lives for the worse.

Although such statements are way too premature and computers are far off being the main threat for our future wellbeing, it is worth mentioning that artificial intelligence has its cons as well.

The major drawback of artificial intelligence is associated with job losses. Experts suggest as a leading argument the idea that computers will slowly, but surely overtake humans in many sectors.

And the truth is that this has already started to happen with computers becoming ever-present in factories, financial companies, newspapers, shops, etc.

Although for now, A.I. is responsible mostly for basic, straightforward tasks, such as running assembly lines, sorting and analyzing data, etc., in the near future it is expected to take care of way more intuitive and crucial processes.

In fact, computers are already capable of writing articles and processing payments in self-service shops which means that the time when more jobs are lost due to the progress in AI may not be so distant.

Such a scenario has inspired lots of Hollywood productions. Although it is quite exaggerated to believe that computers will become our enemies, it is more reasonable to fear of situations where we can't explain the reasons behind the decisions machines are making.

For example, a few months ago, the CEO of a $97 billion artificial intelligence hedge fund, revealed that even the developers of their propriety system were unable to understand and explain its trading decisions, although they lead to enormous profits.

If such scenarios translate to other industries, the consequences may be far-too-unpredictable.

What differentiates computers and humans (and will continue to do so in the near future. is AI's lack of judgement skills. Computers are unable to contextualize information and take reasonable actions according to a specific situation.

They are programmed to make choices upon pre-programmed rules and scenarios. However, in the real world, some situations require for the information and the circumstances to be taken out of the context and be analyzed in a more untraditional way.

This, for now, remains a hard-to-gain quality.

The truth is that we are yet to reveal how our brain works on practice. However, the one thing that we are certain of is the fact that creativity is common only for humans.

Computers, on the other hand, are unable to act in a creative and unexpected way to solve a certain issue. What they will do is follow common steps and a pre-defined methodology, which in extraordinary situations, will turn out ineffective.

Although computers are able to learn by doing and become better with time, their ability to react in abnormal situations will not get significantly improved. Creativity remains and will continue to remain the main thing that differentiates humans from machines.

The efficiency of the machine learning algorithms behind AI-based solutions is heavily dependable on the quality of information that they are fed with.

Just like the case with financial data, in many industries, the data can sometimes be inadequate, biased or incomplete. This often affects negatively the conclusions of AI-based solutions. Although this is not a problem caused by Artificial intelligence directly, it still limits its efficiency.

Although in the long-term, artificial intelligence becomes cheaper than human labor, in the short term, it often turns out to be way too expensive for some companies.

The development of AI solutions requires significant investments, which, of course, are going to repay themselves in the near future. Still, in the present, they remain financially extensive and may limit the operations of some companies.

This case is often valid for built-from-scratch propriety solutions. When it comes to SaaS (Software-as-a-Service. solutions, the costs are way lower and affordable for all types of companies.

Computers can be as responsible and as intelligent as their algorithms allow them to be. And these algorithms often contain their programmers' biases.

In cases when an important decision should be made, such an issue may affect negatively the outcome of the situation and lead to unnecessary consequences.

This has already proved to be a problem with self-driving cars and the decisions they make in situations when not following the rules can mitigate deadly consequences and save human lives.

If computers continue to develop at a similar pace, they will surely take over low-skilled jobs. This means plenty of people's professions will turn out to be needless for the wellbeing of the economy.

The main issue here is the percentage of these people that will be willing to improve themselves, gain additional skills and re-qualify for other types of jobs.

A big part of those who are replaced by computers will not be motivated enough to find an alternative scenario for their future or even find it difficult to become better versions of themselves. Such an issue has the potential to raise serious social instabilities.

This, of course, does not mean it isn't the natural way to go or highlights the need of slowing down our progress to serve a certain group of the society. Just the opposite, we must find an appropriate way to navigate the whole transition, which in the short term, may turn out to be difficult.

If Artificial intelligence lives up to the hype and becomes the dominant force of our future, in the end, we will face a significant power overhaul that may destabilize the current structure of our society.

Companies that control and develop AI solutions, as well as those who have the capital to hire them, will become the new power figures in charge. This means that the companies which manage to become the dominant force may shape our future according to their own vision and perception.

In the end, there is the risk that AI may not fulfil the potential it is renowned for. Although the progress in the last few years was a remarkable one, there is no guarantee that we will be able to continue with the same pace and when it will reach its peak.

In a few years from now, we may have progressed significantly, as well as reached a state where we are still using A.I. for time-saving tasks and not some independent and systemically-important operations.

There is also the chance of Artificial intelligence becoming a mainstream thing that may not drive us as further as a society, as expected.

Whether we want it or not, AI is here to stay. The technology has brought so many positives so far, that it is hard to imagine that it will stop driving us forward anytime soon. When I was struggling with coding new day trading systems, I luckily came across the A.I. based stock screener from Trade Ideas. Their newest feature is the automated trading API.

With one mouse click, Trade Ideas can be connected to a brokerage account and trade on auto-pilot. No coding skills needed. In 2017 and 2018 their A.I. based algorithms have beaten the financial indexes like NYSE and NASDAQ in terms of performance. If you are a short term trader or investor, you should read my comprehensive Trade Ideas review.

Apart from all the positives, computers are also raising some alarming signs on the associated risks.

In the end, it is up to us to shape the way artificial intelligence will develop in the future.

If we manage to play our cards right, Artificial intelligence will make us a better society and help us solve some of the most serious problems that we are currently facing. The potential is present, now it is up to us.

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Pros and Cons of Artificial Intelligence 2020 (Top 20)

An artificial intelligence algorithm designed to beat a video game takes on ecology and evolution – Massive Science

Eight years ago, I was packing my home and entire life in Mexico to move to the US to pursue a PhD in Ecology and Evolutionary Biology at the University of California-Irvine. Those were easier times, although it did not seem like it at the time. I spent a few months worth of income to pay for paperwork to apply for an F-1 student visa, and to pay for other documents to enroll as a graduate student. This was after I dedicated months to emailing professors everywhere in the US, hoping that one of them would reply to my email and would invite me to apply to join their lab. It was also after spending time and money paying for standardized tests, official document translations, and application fees. It was a one-and-a-half-year process but in July 2012, I was finally moving to the USA to pursue my PhD. It was a dream come true.

It was also a dream come true for the University of California because I had a full scholarship from my home country that paid for the entirety of my international tuition and fees, which were around $35,000 per year. My scholarship allowed me to pursue my PhD in the USA, and to UC Irvine it provided basically free labor as well as prestige.

I paid taxes and did all of the typical graduate student responsibilities. I also dedicated a lot of my time to doing outreach to bring science to underserved communities around Orange County and Southern California. By the time I graduated in 2017, I was a stellar student, with three publications with UC Irvine's name on them. I co-organized summer science camps for middle school girls that brought money and a good reputation to my university and program. I mentored students of all ages. I was a good citizen of my program, of my university, and of Orange County.

Like me, most international students leave their families and everything that they are comfortable with to pursue the dream of graduate school. They bring with them the hope of being welcomed and treated fairly by their American peers. I have experienced this, but I am one of the lucky ones.

It is no secret that international students and postdocs will withstand abuse and other injustices just so they can keep their visa, which is always tied to their university. Many universities receive international students without having a system to deal with the unique challenges that international students face, such as having no credit history, which complicates finding a place to live and leaves international students vulnerable to landlord abuse. Many international students are people of color, and universities, especially predominantly white institutions, do not have resources to ensure safety of these students within the university and in the community at large.

These challenges are further complicated due to a lack of community and support. Making friends in the US, especially if you are coming from Global South countries and/or non-Westernized countries, is extremely challenging. Many times, I have seen how western Europeans, Australians, and Canadians are rapidly accepted in the local community, while many Latinx, Asians, and Middle-Easterners are not.

There are over one million international students in the US. The ICE Student Ban may no longer be a threat, but universities still need to change how they handle international students. We are people too, but many universities have historically valued us only by the amount of money we bring. We improve higher education not only by the money that we bring, but by our unique perspectives, our research productivity, and our willingness to give back to American society.

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An artificial intelligence algorithm designed to beat a video game takes on ecology and evolution - Massive Science

Scientists Discover the Correlation Between Our Vision and Imagination Using Artificial Intelligence – News18

Representative image / Hindi News18.

We see a number of things in everyday life. However, is our vision always similar to what we imagine it to be like?

Well, the researchers beg to differ. A new study has found out an overlap between human and machine, helping us understand how virtual eyes perceive things different as compared to what we process in our brains.

According to research conducted by a team from the Medical University of South Carolina, the brain uses similar visual areas for mental imagery and vision.

However, the low-level visual areas are used less precisely with mental imagery as compared to the vision. The latest study was published in the journal Current Biology on June 22.

Neuroscientist Thomas Naselaris, also a co-author in the paper, revealed, "We know mental imagery is in some ways very similar to vision, but it can't be exactly identical. We wanted to know specifically in which ways it was different."

He works at the Medical University of South Carolina.

The latest findings prove beneficial to study in detail about the mental imagery and vision for mental health disorders, such as post-traumatic stress disorder (PTSD). The new research was conducted using an fMRI scanner and an artificial neural network, which mimicked the human brain.

They can further explore the mental imagery disruptions pattern in other mental health problems such as schizophrenia.

Naselaris added that when a human imagines, the brain activity is less precise. Our brain often misses the details, leading to the fuzziness and blurriness in brain activity.

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Scientists Discover the Correlation Between Our Vision and Imagination Using Artificial Intelligence - News18

Artificial Intelligence Cars and Light Trucks Market Sets the Table for Continued Growth | Apple, Audi, BAE Systems, BMW – Jewish Life News

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Artificial Intelligence Cars and Light Trucks Market Sets the Table for Continued Growth | Apple, Audi, BAE Systems, BMW - Jewish Life News

Artificial Intelligence (AI) in Security Market 2020 Demand, Trend, Latest Techniques, Innovations, Applications, Analysis and 2025 Industry Growth…

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Artificial Intelligence (AI) in Security Market 2020 Demand, Trend, Latest Techniques, Innovations, Applications, Analysis and 2025 Industry Growth...

Global Artificial Intelligence in BFSI Market Expected to reach growth rate of XX% CAGR by 2025 (Pandamic Impact Analysis): IBM, Baidu, Brighterion,…

This report is well documented to present crucial analytical review affecting the Global Artificial Intelligence in BFSI market amidst COVID-19 outrage. In the light of the lingering COVID-19 pandemic, this mindfully drafted research offering is in complete sync with the current ongoing market developments as well as challenges that together render tangible influence upon the holistic growth trajectory of the Artificial Intelligence in BFSI market. The aim of the report is to equip relevant players in deciphering essential cues about the various real-time market based developments, also drawing significant references from historical data, to eventually present a highly effective market forecast even amidst an unprecedented scenario such as the ongoing COVID-19 pandemic and its subsequent implications.

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The following sections of this versatile report on Artificial Intelligence in BFSI market specifically sheds light on popular industry trends encompassing both market drivers as well as dominant trends that systematically affect the growth trajectory visibly. Each of the market players profiled in the report have been analyzed on the basis of their company and product portfolios, to make logical deductions.

The study encompasses profiles of major companies operating in the Artificial Intelligence in BFSI Market. Key players profiled in the report includes:IBMBaiduBrighterionMicrosoftGoogleSAPIntelIPsoftNVIDIAMicroStrategyIFlyTekInfosysAlbert TechnologiesMegvii Technology

A thorough analytical review of the pertinent growth trends influencing the Artificial Intelligence in BFSI market has been demonstrated in the report to affect unbiased and time-efficient business discretion amongst various leading players. The report also sheds substantial light on all major key producers dominant in the Artificial Intelligence in BFSI market, encompassing versatile details on facets such as production and capacity deductions.

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By the product type, the market is primarily split into On-PremiseCloud-based

By the end-users/application, this report covers the following segments Voice ProcessingText ProcessingImage ProcessingOther

These details are indicated in the report to allow market players undertake a systematic analytical review of the Artificial Intelligence in BFSI market to arrive at logical conclusions governing the growth trajectory of the Artificial Intelligence in BFSI market and their subsequent implications on the growth of the aforementioned market.

Global Artificial Intelligence in BFSI Geographical Segmentation Includes: North America (U.S., Canada, Mexico) Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS) Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific) Latin America (Brazil, Rest of L.A.) Middle East and Africa (Turkey, GCC, Rest of Middle East)

Details on product portfolios, user application as well as ongoing technical developments concerning the product line have also been touched upon, to derive accurate understanding about the market prognosis and their subsequent implications upon the Artificial Intelligence in BFSI market. The report specifically focuses on market drivers, challenges, threats, and the like that closely manifest market revenue cycle to encourage optimum profit generation in the Artificial Intelligence in BFSI market.

Some Major TOC Points: Chapter 1. Report Overview Chapter 2. Global Growth Trends Chapter 3. Market Share by Key Players Chapter 4. Breakdown Data by Type and Application Chapter 5. Market by End Users/Application Chapter 6. COVID-19 Outbreak: Artificial Intelligence in BFSI Industry Impact Chapter 7. Opportunity Analysis in Covid-19 Crisis Chapter 9. Market Driving ForceAnd Many More

Research Methodology Includes:

The report systematically upholds the current state of dynamic segmentation of the Artificial Intelligence in BFSI market, highlighting major and revenue efficient market segments comprising application, type, technology, and the like that together coin lucrative business returns in the Artificial Intelligence in BFSI market.

Do You Have Any Query or Specific Requirement? Ask Our Industry [emailprotected] https://www.orbismarketreports.com/enquiry-before-buying/65080

Target Audience:* Artificial Intelligence in BFSI Manufactures* Traders, Importers, and Exporters* Raw Material Suppliers and Distributors* Research and Consulting Firms* Government and Research Organizations* Associations and Industry Bodies

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Global Artificial Intelligence in BFSI Market Expected to reach growth rate of XX% CAGR by 2025 (Pandamic Impact Analysis): IBM, Baidu, Brighterion,...

Artificial Intelligence (Ai) As A Service Market Global Industry Analysis, Size, Share, Growth, Trends, and Forecasts 20192025 Post author – Jewish…

This research articulation on artificial intelligence (AI) as a service market is a thorough collation of crucial primary and secondary research postulates. This artificial intelligence (AI) as a service market also harps on competitive landscape, accurately identifying and assessing market forerunners in the artificial intelligence (AI) as a service market and their growth rendering initiatives. This thought provoking intricately crafted perspective of the artificial intelligence (AI) as a service market is aimed at offering unfailing cues on market growth as a composite whole that aim at presenting all the nitty gritty of the market to encourage unfaltering growth scope despite stringent competition in the artificial intelligence (AI) as a service market.

Top leading players of the market are:

Alphabet Inc. (Google Inc.),Microsoft Corporation ,Amazon Web Service Inc.,IBM Corporation,Salesforce, Inc.,Apple Inc.,CognitiveScale, Inc.,Intel, Inc.,SAP SE,Fair Isaac Corporation,Others

Get Sample Copy of this Report:https://www.adroitmarketresearch.com/contacts/request-sample/1335

Apart from showcasing all the vital details on the artificial intelligence (AI) as a service market determinants that influence onward growth trajectory, the report in its succeeding sections also sheds pertinent details on the artificial intelligence (AI) as a service market, shedding immense light on market segmentation that collectively decide and bolster lush growth in global artificial intelligence (AI) as a service market. Important details on regional diversification is also included in the report unveiling details on core growth propelling geographical pockets highlighting all the vital market decisions that are directed to reap high end growth in the artificial intelligence (AI) as a service market.

In addition to the mentioned factors that decide the growth prospects of the target market, this section of the report also entails details on the available growth prospects and scope , besides also eying details on profit determinants and market break-down that seem to herald excruciating impact on uncompromised growth of the artificial intelligence (AI) as a service market.

Read complete report at:https://www.adroitmarketresearch.com/industry-reports/artificial-intelligence-as-a-service-aiaas-market

Global Artificial Intelligence (Ai) As A Service Market is segmented based by type, application and region.

Based on Type, the market has been segmented into:

By Technology (Natural Language Processing (NLP),Machine Learning (ML),Speech Recognition,Computer Vision,Others) By Organization Size (Large Organizations,Small & Medium Organizations) By Industry Vertical (IT & Telecom,Retail,BFSI,Manufacturing,Healthcare,Others)

All the notable artificial intelligence (AI) as a service market specific dimensions are studied and analyzed at length in the report to arrive at conclusive insights. As the report proceeds further, it emphasis relevant development nuances on current, historical, as well as future growth tendencies to make error free growth estimations on crucial parameters.

The high profile research endeavor on artificial intelligence (AI) as a service market offers enough growth impetus and thrust on all round growth brackets based on segmentation of the products, payment module and trade and transaction media, which eventually usher in providing improved service profile, application details and well as technological sophistication that eventually design and propel all round growth in global artificial intelligence (AI) as a service market. Even further in the report emphasis has been lent on current, historical, as well as future growth tendencies to make accurate growth estimations based on market size, value, volume, demand and supply trends as well as growth rate.

The report is a ready to use handbook of all the pertinent market specific developments, highlighting major alterations, dominant trends as well as market forces that collectively render requisite thrust towards unfailing growth in global artificial intelligence (AI) as a service market.

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Artificial Intelligence (Ai) As A Service Market Global Industry Analysis, Size, Share, Growth, Trends, and Forecasts 20192025 Post author - Jewish...

Teslas next quarterly earnings could make it eligible to join the S&P 500 – Marketplace

Tesla reports its latest quarterly earnings on Wednesday. People will be paying extra close attention this time, because if the electric carmaker reports a profit for the second quarter, it could be eligible to join the S&P 500.

So, what does a company get out of joining this stock market index of 500 of the largest companies traded in the U.S.?

Really, its about investment. People have poured billions of dollars into funds that simply buy shares in whatever companies are in the S&P 500.

These are known as index funds and exchange-traded funds.

So if Teslas added, they have to buy Teslas stock, said Evan Rawley, a professor at the University of Minnesota.

That can boost stock prices, which makes the companys shareholders happy. It also means that those funds would have to buy any new stock the company issues. That could help the company raise cash, said Anil Shivdasani at the University of North Carolina.

This can be something that proves to be important for a company like Tesla, that, by its very nature, is a very capital intensive business, Shivdasani said.

The big institutional investors behind those S&P 500 index funds would also own a bigger share of the company.

Shivdasani said that could give them more incentive to try and influence company policy.

Institutional investors have been increasingly vocal, proactive, he said, especially on environmental and social issues.

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Teslas next quarterly earnings could make it eligible to join the S&P 500 - Marketplace

Tesla Reports on Wednesday: 4 Things to Watch – TheStreet

With Tesla Inc. (TSLA) - Get Reportreporting its latest financial results this week, investors are looking for a key milestone that could spur a wave of buying activity in the stock.

The electric carmaker is on the cusp of inclusion in the S&P 500 index, and bulls consider it a "fait accompli," according to Wedbush analyst Dan Ives. To be eligible for the index, Tesla needs to post a profit for the second quarter, which is the first full quarter that overlapped with the COVID-19 pandemic.

The stakes are significant for Tesla investors, and CEO Elon Musk, as inclusion in the S&P 500 would trigger index fund buying. But posting positive earnings this quarter isn't a sure bet.

Here are some themes to watch in Tesla's upcoming report.

To help stimulate demand, Tesla announced several price cuts this year both in the U.S. and in China. Just last week, it slashed prices for Model Y unit in the U.S.; in late May, it reduced prices across its lineup. Analysts are mixed on whether this amounts to a savvy business move or a red flag that organic demand is lagging. Tesla's quarterly revenue stacked up against the 90,650 vehicle deliveries it reported earlier will shed light on the impact of price cuts to Tesla's top line. And the company's commentary on the quarter, and forward-looking statements, may reveal more on the rationale of the price cuts and how they may affect Tesla'sresults going forward.

Tesla shares have had a historic run-up over the past few months, despite the impacts of COVID-19. It's now the most valuable automaker in the world, with its valuation exceeding $300 billion. According to CFRA analyst Garrett Nelson, "[Tesla] shares have gotten ahead of underlying fundamentals and do not appropriately reflect various risks surrounding the story, including the fact TSLA is entering a major spending cycle with the construction of Gigafactories 4 and 5." Tesla bulls believe the carmaker can effectively scale production across the world, thus justifying the high valuation. But the factory projects will also "act as a significant drag on free cash flow over the next several quarters," adding risk to shares, he wrote. Look out for Tesla's comments on the timeline of factory buildouts in Germany and in the U.S., potentially in Texas.

The potential for China to become a major sales market for Tesla is a linchpin of the bull thesis, and it appears that EV sales in China have rebounded from earlier lows tied to COVID-19. According toChina's Passenger Car Association (CPCA), Tesla sold14,954 Model 3 vehicles in June, up from 11,095 units in May and 3,635 units in April. According to Ives, "strong Model 3 demand out of China remains a ray of shining light (and we believe was a clear standout in 2Q) for Tesla in a dark global macro." He estimates that Tesla could deliver 150,000 cars in China this year, and that the China growth story could be worth "at least $400 per share" as production ramps up over the next 12 to 18 months.

Weeks ago, Tesla told investors that it delivered 90,650 units over the three months ending in June -- well ahead of Wall Street's consensus forecast of 72,000. It has not yet updated its full-year delivery guidance, however. Prior to the pandemic, Tesla told investors that it would easily deliver 500,000 vehicles this year. It's delivered around 179,000 in the first half. Last quarter, Tesla said that it would "revisit" its full-year guidance in its second quarter release, and will likely give comments on what to expect on the demand side for the rest of this year.

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Tesla Reports on Wednesday: 4 Things to Watch - TheStreet

Motor Mouth: The truth about Tesla’s Autopilot claims – Driving

Grandiose pronouncements from Elon Musk are no longer exactly shocking. From his original mission statement we will not stop until every car on the road is electric to his curious decision to build flamethrowers, we are used to hearing Teslas CEO put his mouth where he hopes his company will follow.

Nonetheless, his recent proclamation that Teslas Autopilot system will be ready for full Level 5 autonomy by the end of this year came as a great surprise to all the experts and, by all, I mean pretty much everyone else in the entire automotive industry who think 2025, or even 2030, is the very earliest we might see full automotive autonomy.

Now, theres no absolutely no doubt that Tesla is a leader if not the leader in self-driving software. Oh, Waymos autonomous system may be more effective than Autopilot, but it employs far more complex sensor arrays (various forms of LIDAR and more radar sensors) than Teslas comparatively crude camera-based system. Were there an award for simplest self-driving systems doing the most with the least, if you will Tesla would win hands down.

Nonetheless, the industrys skepticism has less to do with Teslas hardware than exactly what Mr. Musk means by Level 5 autonomy. Theoretically, the answer to that is straightforward: the U.S. National Highway Traffic Safety Administration (NHTSA), which sets the standards for six levels of self-driving, defines Level 0 as complete human control while Level 5, the top echelon, means your robotic car can go anywhere at any time, in any weather or road condition.

And therein lies the rub. There are plenty of semi-autonomous Level 2 cars that can drive themselves under certain conditions (General Motors Super Cruise and Teslas Autopilot being the leaders). A few Level 4 vehicles notably Waymo can drive themselves without supervision, but only on specific roads. In other words, their complete autonomy is rigidly geo-fenced.

The problem is that Level 5 really does imply Mr. Musks Model 3s should soon be able to drive straight from the factory floor in Fremont all the way to Fairbanks, neither rain nor snow nor seemingly unmarked gravel roads keeping Autopilot from its appointed rounds.

Except thats clearly not possible. Self-driving cars may have proven themselves (semi-) capable of navigating the straight and narrow of Arizona highways, and even a select few suburban California neighbourhoods, but no one has figured out how to completely conquer snow banks, black ice, and the perils of sensor-clogging salt. Hell, in my experience, theres not a single automaker yet capable of getting one of their comparatively simple radar-based adaptive cruise control systems through a Canadian winter. Simply put, anyone that thinks their Model S is going to drive from downtown Montreal to their cottage north of Mont Tremblant in the middle of a January snowstorm is in for a rude awakening.

And thus we find ourselves once again dealing with Mr. Musks penchant for, lets call them exaggerations, running headlong into what would seem to be some very specific standards. Indeed, his claims to the World Artificial Intelligence Conference (WAIC) in Shanghai that complete autonomy will happen very quickly, then appear to be muddled by him implying that Level 5 autonomy will first be limited to California.

Well, besides the fact that other automakers are continuously expanding their self-driving capabilities to more California roads, theres the simple fact that, if the next generation of Autopilot is geo-fenced to the Golden State, strictly speaking thats Level 4 autonomy not Level 5.

Semantics, you say?

Not quite. Legion are the Tesla owners doing what my dear old dad would call when I arrived home with yet another dislocated shoulder from yet another motocross crash stupid s^%t. One Tesla acolyte Forbes John Koetsier recently boasted that Teslas self-driving technology is advancing faster than other manufacturers, citing the example of a friend who drove from Los Angeles to Las Vegas, using a fruit wedged in the steering wheel to simulate a human touch. Nor is this silliness limited to North America, the BBC recently reporting that a British man had his licence suspended for 18 months because he turned Autopilot on and then climbed into the passenger seat. Musks pronouncements even have some ardent fanboys predicting that Teslas next over-the-air Autopilot upgrade as in, later this year will be the whole Level 5 enchilada.

Now its possible, in a fine example of Trumpian obfuscation that finely honed process whereby the leader of the free world dog whistles exactly what he means to say and then provides himself an out-clause that Mr. Musks contention that Tesla will have the basic functionality of Level 5 autonomy is his weasel-clause. After all, Tesla has always taken pains to note the risk-taking daredevilry that has already been attributed to Autopilot Joshua Brown who centre-punched a transport truck, Walter Huang who rammed into a concrete barrier while reportedly playing a video game, etc. occurred when the company was (officially) claiming that Autopilot was only semi-autonomous. Nonetheless, the most recent claims make me wonder what manner of mayhem will occur now that Mr. Musk says Level 5 autonomy is within sight.

The most recent claims make me wonder what manner of mayhem will occur now that Mr. Musk says Level 5 autonomy is within sight.

But, you might be thinking, Tesla cant be held responsible if its owners misuse the companys cars.

Actually, they can and already have, a Munich court having recently ruled Tesla had to pull advertising that claimed its cars had the full potential for autonomous driving. The tribunal went even farther in stating that just by using the term Autopilot and other wording, the defendant suggests that their vehicles are technically able to drive completely autonomously. That, again, is when Tesla was officially claiming its cars were but semi-self-autonomous.

But lets just say for you-know-what-and-giggles, that Tesla can by some miracle put a totally self-driving car in consumers hands next year. The question then becomes who will be responsible for any collisions involving a totally self-driving Tesla. Insurance companies will almost certainly balk at bearing responsibility when their client, the cars owner, might have been asleep in the passenger seat. Will Tesla admit culpability? With Autopilot previously requiring human supervision, who was responsible was fairly easily delineated. With the car completely in charge, who is responsible for its operation becomes far more problematic.

And lets understand that Teslas, Level 5 or not, will still be involved in collisions. As Motor Mouth recently reported, the U.S. Insurance Institute for Highway Safety (IIHS) recently predicted that simply computerizing our cars will only reduce accidents by a third. Only by forcing computers into extremely cautious, borderline pedantic driving habits can self-driving get to the zero-fatality future weve all been told automotive autonomy promises. Mr. Musk has already posited that some level of danger will still be present, even with Level 5 Teslas. At the very least, crawling along at speeds that would likely make Autopilot safe enough for human use would seem at odds with one of the companys other main marketing messages ludicrous acceleration.

Like Mr. Trumps antics, I think weve all become inured to Elon Musks bold assertions. Its part of his management style, a major reason that Tesla is so successful and why he is worshipped by so many. But to claim his cars will be ready for completely driverless operation would seem to move his marketing game from merely audacious to downright reckless. Technology isnt ready. Our legal and insurance systems arent ready.

And, judging by the hare-brained antics of some Tesla owners, consumers definitely arent ready for the basic functionality of Level 5 autonomy.

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Motor Mouth: The truth about Tesla's Autopilot claims - Driving

A Week Of Dow And Tesla To "Cure" COVID-19 Tainted Earnings – Benzinga

Without any sugar-coating, this earnings season hasso far livedup to the expectationthat it would bethe worst since the 2008 financial crisis. Until now, S&P 500 components have posted a 47.4% decline in second-quarter profits with nearly 9% of reports issued. Based on delivered reports as well as expectations, FactSet analysts predict that earnings for the whole index will plummet nearly 45%. This could be the biggest drop since a 69% plunge during the worst times of the Great Recession which stroke the fourth quarter of 2008. Retail, travel and energy companies are in for the biggest declines in sales and profit but some were exempt from this dreadful fate.

After Delta Air Lines, Inc. (NYSE: DAL) delivered a $5.72 billion loss for the June quarter and warned that a "sustainable recovery" is more than two years away, United Airlines Holdings Inc (NASDAQ: UAL) and Southwest Airlines Co (NYSE: LUV) are "on board" this weekas far as earnings reports are concerned.

As for Dow Jones Industrial Average, eight of its components will report this week as will 80 S&P 500 members and several big names could offer some better news. Tesla Inc(NASDAQ: TSLA) and Microsoft Corporation (NASDAQ: MSFT) will deliver on Wednesday,July 22nd, 2020.Intel Corporation (NASDAQ: INTC) will be publishing its earnings reportonThursday, July 23rd, 2020. Hopefully, they will provide hints that the pace is picking up.

Some analysts are expecting a narrower loss than a year ago, whereas others are hoping that the company can post a surprise GAAP profit. After it announces results on Wednesday, Tesla could end up meeting every requirement for entering the S&P 500 index, which requires four straight quarters of profitability for entry. The EV pioneer has already achieved three consecutive quarters of profitability,the fourth onecould be added to the index at any time. The anticipation of that event may behelping boost its price as Tesla's stock skyrocketed during the first half of the year. Although Musk has fallen short of some of his bold promises, he did deliver on quite a few. SpaceXput humans into orbitand Tesla became not only the EV brand that consumers want but also the best-selling luxury car.The brand has helped topushthe entire auto industry into electrification.

Twitter Inc(NYSE: TWTR) reports will be released on the morning of Thursday, July 23rd, 2020, andSnap Inc(NYSE: SNAP) will be released onTuesday afternoon, July 21st, 2020. Twitter is bound to have gained some points for taking a stand against social injustice, unlike Facebook, Inc. (NASDAQ: FB). Although, its recent security breach will most likelycome under the spotlight.

Snap's revenue growth is expected to have decelerated from the first quarter to the second quarter.Although,a double-digit ad growth relative to a year ago given the "growing appetite" for Snap's direct-response ads is likely in the cardsand let's not forget that this platform is a favorite among youngsters. Together, Twitter and Snap will shed some light on how the admarket is handling the pandemic.

On Thursday morning, AT&T Inc. (NYSE: T) will report its pandemic performanceandVerizon Communications Inc. (NYSE: VZ) will be releasing its report the following day. Both players saw their equipment revenue dive as stores closed due to COVID-19, but things could be picking back up with eased social distancing measures. Yet, AT&T is also dealing with other challenges. Film production at Warner Bros. has been put to a halt, media channels have been harmed with less ad spending and DirecTV is being hit with an avalanche of cord-cutting.

There's at least one Dow member on the schedule every day in the week ahead. IBM Common Stock(NYSE: IBM) will open the week on Monday afternoon, followed by Coca-Cola Co (NYSE: KO) on Tuesday morning and Microsoft on Wednesday afternoon. As for Thursday, Travelers Companies Inc (NYSE: TRV) and Dow Inc. (NYSE: DOW) will take the morning stage. On Friday morning, July 24, 2020, American Express Company (NYSE: AXP) and Verizon will wrap up the week. And if that's not enough for you, there is also the Chipotle Mexican Grill, Inc. (NYSE: CMG) which is expected to have handled the pandemic and consequent restrictions on indoor dining better than expected.

This article is not a press release and is contributed by a verified independent journalist for IAMNewswire. It should not be construed as investment advice at any time please read the full disclosure. IAM Newswire does not hold any position in the mentioned companies. Press Releases If you are looking for full Press release distribution contact: press@iamnewswire.com Contributors IAM Newswire accepts pitches. If you're interested in becoming an IAM journalist contact: contributors@iamnewswire.com

The post A Week of Dow and Tesla to "Cure" COVID-19-Tainted Earnings appeared first on IAM Newswire.

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A Week Of Dow And Tesla To "Cure" COVID-19 Tainted Earnings - Benzinga

Tesla and TSLA: Electric vehicle to gambling vehicle – Axios

For millions of traders and CNBC addicts, the word "Tesla" doesn't mean cars it means TSLA, one of the wildest large-cap stocks the world has ever seen.

Driving the news: On Monday alone, Tesla opened $114 higher than its previous close, then gained another $136 within 15 minutes, then dropped by $324 before the market closed. (Even during the drop there was a half-hour period where the stock rose another $100.)

Large-caps aren't supposed to be this volatile. Tesla's Monday peak was 89% higher than the low point two weeks earlier on no real news.

By the numbers: Tesla stock is popular among day-traders who don't like to hold any kind of position overnight. Partly as a result, it opened higher than its previous close every day this month up to yesterday.

Don't look to Wall Street analysts for clarity. Their price targets range from $87 (Gordon Johnson of GLJ Research) to $2,322 (Alex Potter of Piper Sandler).

The bottom line: Cars and carmakers have had mythic status for decades. But for the time being it often seems that there's only one game in town.

Go deeper: Breaking down the Tesla obsession

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Tesla and TSLA: Electric vehicle to gambling vehicle - Axios

Can Tesla (TSLA) Keep its Earnings Streak Alive in Q2? – Yahoo Finance

TeslaTSLA is slated to release second-quarter 2020 results on Jul 22, after the closing bell. The electric-vehicle pioneer beat first-quarter 2020 earnings estimates on higher-than-anticipated automotive revenues. Over the trailing four quarters, Tesla beat estimates on three occasions and missed once, with the average surprise being 482.1%. This is depicted in the graph below:

Tesla, Inc. Price and EPS Surprise

Tesla, Inc. Price and EPS Surprise

Tesla, Inc. price-eps-surprise | Tesla, Inc. Quote

Trend in Estimate Revision

The Zacks Consensus Estimate for Teslas second-quarter loss per share has been narrowed by 39 cents to 64 cents in the past 30 days. The figure indicates an improvement from the year-ago loss of $1.12 a share. The Zacks Consensus Estimate for revenues is pegged at $4.96 billion, indicating a decline from the reported sales of $6.35 billion in the corresponding period of 2019.

Earnings Whispers

Our proven model predicts an earnings beat for Tesla for the to-be-reported quarter, as it has the right combination of two key ingredients. A combination of a positive Earnings ESPand a Zacks Rank #1 (Strong Buy), 2 (Buy) or 3 (Hold) increases the odds of an earnings beat. You can uncover the best stocks to buy or sell before theyre reported with our Earnings ESP Filter. You can seethe complete list of todays Zacks #1 Rank stocks here.

Earnings ESP:Tesla has an Earnings ESP of +135.17%. This is because the Most Accurate Estimate is pegged at earnings of 22 cents per share against the Zacks Consensus Estimate of a loss of 64 cents.

Zacks Rank:It carries a Zacks Rank of 3 currently.

Factors at Play

Although overall second-quarter vehicle deliveries declined slightly from the year-ago level amid coronavirus woes, the figure handily surpassed analysts estimates.The firm reported production and deliveries of 82,272 and 90,650 vehicles, respectively, in second-quarter 2020.

Increasing deliveries of Model 3, which forms a major chunk of the automakers overall deliveries, are likely to have aided Teslas automotive revenues in the to-be-reported quarter. Also, ramped up production and deliveries of Model Y are likely to have buoyed its earnings. It should be noted that Model 3/Y deliveries came in at 80,050, up from the prior-year level of 77,634. All in all, robust Model 3 demand, ramp up of Model Y production and significant Shanghai Gigafactory progress are likely to fuel Teslas results for the to-be-reported quarter.

Nonetheless, the consensus mark for automotive revenues is pegged at $4,004 million, suggesting a decline of 22.5% year over year. The Zacks Consensus Estimate for revenues from the energy generation and storage segment is pegged at $365 million, implying an increase from the prior quarters $293 million but a decline from the year-ago quarters $368 million. The consensus estimate for revenues from services and other is pegged at $554 million, pointing to a decline from $605 million reported in second-quarter 2019.

Musks Mail Triggers Optimism

While the revenue estimates are somewhat discouraging, Musks leaked mail to employees generated enthusiasm among investors. Musk sent an e-mail to employees, encouraging them to finish the to-be-reported quarter on a strong note and showing optimism that the firm could break even in the second quarter. The email said, breaking even is looking super tight. Really makes a difference for every car you build and deliver. Please go all out to ensure victory! If Tesla manages to remain in the black in second-quarter 2020 amid the challenging COVID-19 backdrop, it will be a jaw-dropping achievement for the company and Musk.

Other Stocks to Consider

Tesla is not the only auto firm looking up this earnings season. Here are some other companies from the same space, which according to our model also have the right combination of elements to post an earnings beat in the to-be-reported quarter.

Harley-Davidson HOG has an Earnings ESP of +78.18% and carries a Zacks Rank #3 at present. The company is slated to release second-quarter 2020 earnings on Jul 28.

Story continues

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Can Tesla (TSLA) Keep its Earnings Streak Alive in Q2? - Yahoo Finance