Let's be honest, stupid humans are too smart sometimes for their own good and Skynet is going to happen, at least that's what Bill Gates, Stephen Hawking and Elon Musk think, but what do they know? In 2014, Stephen Hawking wrote: "Success in creating AI would be the biggest event in human history, – Unfortunately, it might also be the last, unless we learn how to avoid the risks. In the near term, world militaries are considering autonomous-weapon systems that can choose and eliminate targets." In a separate interview in the same year, he warned: "humans, limited by slow biological evolution, couldn't compete and would be superseded by A.I." In a Reddit Q&A Session in January 2015 Gates said: "I am in the camp that is concerned about super intelligence. First the machines will do a lot of jobs for us and not be super intelligent. That should be positive if we manage it well. A few decades after that though the intelligence is strong enough to be a concern. I agree with Elon Musk and some others on this and don't understand why some people are not concerned."

Lyft, the nation's second-largest ride-hailing service, expects autonomous vehicles to account for a majority of its rides within five years, cofounder and president John Zimmer told TIME in an exclusive interview. Days after its chief rival Uber's self-driving cars began ferrying passengers in Pittsburgh, Zimmer also said he expects car ownership will "all but end" in major U.S. cities in less than 10 years. "There are already specific trips--whether it's just on this street or just at this time in this perfect weather condition--that an autonomous vehicle could do today," Zimmer tells TIME. And he believes that this is how the self-driving revolution will come to the masses: not by consumers swapping out their old cars for fully autonomous personal vehicles but by consumers paying for rides in self-driving cars they don't own, with the type of trip restricted heavily at first and then growing more complicated as technology and regulations advance. That is also the logic on which his five-year prediction is built.

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

Lyft, the nation's second-largest ride-hailing service, expects autonomous vehicles to account for a majority of its rides within five years, CEO John Zimmer told TIME in an exclusive interview. Days after its chief rival Uber's self-driving cars began ferrying passengers in Pittsburgh, Zimmer also said he expects car ownership will "all but end" in major U.S. cities in less than 10 years. "There are already specific trips--whether it's just on this street or just at this time in this perfect weather condition--that an autonomous vehicle could do today," Zimmer tells TIME. And he believes that this is how the self-driving revolution will come to the masses: not by consumers swapping out their old cars for fully autonomous personal vehicles but by consumers paying for rides in self-driving cars they don't own, with the type of trip restricted heavily at first and then growing more complicated as technology and regulations advance. That is also the logic on which his five-year prediction is built.

On Thursday July 28, 2016, Yann LeCun took part in a Quora Session, a Q&A session hosted by Quora roughly analogous to Reddit's AMA format. LeCun was posed numerous questions, and provided insightful answers to many. What follows are a few excerpts from the session, including questions posed and partial LeCun answers. What are some recent and potentially upcoming breakthroughs in deep learning? The most important one, in my opinion, is adversarial training (also called GAN for Generative Adversarial Networks).

To the editor: Ann Friedman's opinion piece touched home. While I didn't know it at the time, I was a second-wave feminist in 1962 attending Pasadena City College. When I learned I had to participate in the Rose Queen process as part of my physical education class, I adamantly refused. My instructor was stunned; I had to write an essay about sports instead, which I was happy to do. I'd never heard the word feminism at that point, but my goodness, when Phyllis Schlafly started her campaign to keep women at home, I was outraged.

I always seasoned my vocabulary with as many four-letter words as 50-cent ones, at least until my first child was born two years ago. That's when I found myself -- and I'm almost embarrassed to admit it -- watching my language. Something deep in my subconscious told me that profanity might harm him in some way, that even a fleeting expletive, like a curse word uttered while stumbling over a child gate, could do lasting damage. Because I was not only a new parent but also a cognitive scientist specializing in language, I decided to investigate the issue. And I'm happy to report that, nowadays, if I drop an f-bomb in front of my kid, I don't sweat it.

Machine-learned trading systems developed by the world's largest listed hedge fund, Man Group, are not going to make big, bold bets on financial markets because they are better suited to spreading risk over lots of smaller ideas. Anthony Ledford, who is the chief scientist at Man's AHL alternatives business, says the principle of diversification applies equally sensibly to systemic trading as it does to traditional methods of investing. He is based at Oxford University where his team of scientists are now using machined learned strategies to invest client money, having been almost cool on the idea many years ago. Man Group manages US76 billion of which AHL oversees US19 billion. The Zooniverse, a global citizen science project, was an unlikely source of inspiration for the former academic.

Perhaps predictably, online conversations about autonomous vehicles turned markedly negative this summer after a fatal crash involving the driver of a Tesla Model S operated in Autopilot mode. What's less predictable -- and more encouraging to developers of self-driving vehicles -- is that consumers remain optimistic that autonomous drive is the "next big thing in the auto space," according to a new study done for Automotive News. MavenMagnet, a social data research company that combs through online discussions, noted the changing attitudes by comparing comments before and after the Tesla accident became news on July 30. The study sifted through thousands of conversations. It analyzed U.S. consumers, trying to sort out their attitudes toward a disruptive technology with positive and negative possibilities.

Every organization becomes involved in the transition to the new cognitive computing technology epoch soon. This begs the question: "Does artificial intelligence need leadership?" We talked about future challenges in leadership and business with Udo Hornfeck, Vice President at LEONI, a tier-1-supplier in the automotive industry with approximately 70.000 employees worldwide and located in Kitzingen, Germany. Mr Hornfeck leads the Global Research & Development departments. Mark McGregor Leadership Center: Mr Hornfeck, how do you define leadership?