Artificial intelligence has to go in new directions if it's to realize the machine equivalent of common sense, and three of its most prominent proponents are in violent agreement about exactly how to do that. Yoshua Bengio of Canada's MILA institute, Geoffrey Hinton of the University of Toronto, and Yann LeCun of Facebook, who have called themselves co-conspirators in the revival of the once-moribund field of "deep learning," took the stage Sunday night at the Hilton hotel in midtown Manhattan for the 34th annual conference of the Association for the Advancement of Artificial Intelligence. The three, who were dubbed the "godfathers" of deep learning by the conference, were being honored for having received last year's Turing Award for lifetime achievements in computing. Each of the three scientists got a half-hour to talk, and each one acknowledged numerous shortcomings in deep learning, things such as "adversarial examples," where an object recognition system can be tricked into misidentifying an object just by adding noise to a picture. "There's been a lot of talk of the negatives about deep learning," LeCun noted.
Eleven years after Geoffrey Hinton couldn't get a free sample from Nvidia, the Touring Award winner will join his comrades Yoshua Bengio and Yann LeCun at the 2021 GTC conference hosted by Nvidia as a headline speaker, Nvidia announced Tuesday. The event, running April 12 through April 16, will feature the customary keynote from Nvidia CEO Jensen Huang, starting at 8:30am PT on April 12. Said Huang in the press release, "GTC brings together a massive ecosystem of developers, researchers and corporate leaders who are using AI and accelerated computing to change the world "We have our strongest program ever this year, highlighted by Yoshua Bengio, Geoffrey Hinton, and Yann LeCun, among 1,300 sessions focused on every aspect of computing and networking. There is no better place to see the future and how you can help shape it." Hinton, a professor at the University of Toronto, and also a researcher with Google's AI division, along with Bengio of Canada's MILA institute, and LeCun of Facebook, have called themselves co-conspirators in the revival of the once-moribund field of "deep learning." The three all received the prestigious Turing Award, named in honor of computing pioneer Alan Turing, in 2019 for their contributions to computing. The conference will also host the three scholars' arch-nemesis, NYU professor Gary Marcus, who has been a relentless critic of deep learning, and who sparred with Bengio during a 2019 debate. More on the conference is available on the Nvidia website. What has been labeled the deep learning revolution, the break-through in multi-layer perceptrons, or neural networks, circa 2006, is also the trend that made possible the huge expansion in Nvidia's data center business. During a meeting with journalists a year ago in New York, at the annual AAAI conference, Hinton recalled with Mirth how he had been turned down by Nvidia eleven years ago when he'd sought to get a free graphics card. "I made a big mistake back in 2009 with Nvidia," Hinton recalled with a grin "In 2009, I told an audience of 1,000 grad students they should go and buy Nvidia GPUs to speed up their neural nets.
The 2018 Turing Award, known as the "Nobel Prize of computing," has been given to a trio of researchers who laid the foundations for the current boom in artificial intelligence. Yoshua Bengio, Geoffrey Hinton, and Yann LeCun -- sometimes called the'godfathers of AI' -- have been recognized with the $1 million annual prize for their work developing the AI subfield of deep learning. The techniques the trio developed in the 1990s and 2000s enabled huge breakthroughs in tasks like computer vision and speech recognition. Their work underpins the current proliferation of AI technologies, from self-driving cars to automated medical diagnoses. In fact, you probably interacted with the descendants of Bengio, Hinton, and LeCun's algorithms today -- whether that was the facial recognition system that unlocked your phone, or the AI language model that suggested what to write in your last email.
To learn who's taking home the Turing Award, people might turn to their trusted talking bots, like Siri or Alexa. Or, in fact, some of the very technology the three winners helped bring to life. Yoshua Bengio, Geoffrey Hinton and Yann LeCun have earned what's often referred to as the Nobel Prize of the tech world for their pioneering work in artificial intelligence, the Association for Computing Machinery announced Wednesday. The researchers, working both independently and together, helped advance the thinking and application of neural networks, the technology that gives computers the ability to recognize patterns, interpret language and glean insights from complex data. "Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society," Cherri Pancake, president of the computing society, said in a statement.
The winners of the 2018 Turing Award have been announced. Geoffrey Hinton, Yann LeCun, and Yoshua Bengio -- sometimes referred to as the "godfathers of artificial intelligence" -- have won the 2018 Turing Award for their work on neural networks. The three artificial intelligence pioneers' work basically laid the foundation for modern AI technologies. In the 1980s and early 1990s, artificial intelligence experienced a renewed popularity within the scientific community. However, by the mid-90s, scientists had failed to make any major advancements in AI, making it harder to secure funding or publish research.