AI News, Yann LeCun: Deep Learning, Convolutional Neural Networks, and ... artificial intelligence

Geoffrey Hinton

(born 6 December 1947) is an English Canadian cognitive psychologist and computer scientist, most noted for his work on artificial neural networks.

Williams, Hinton was co-author of a highly cited paper published in 1986 that popularized the backpropagation algorithm for training multi-layer neural networks,[14]

Hinton's research investigates ways of using neural networks for machine learning, memory, perception and symbol processing.

Reverse-mode automatic differentiation, of which backpropagation is a special case, was proposed by Seppo Linnainmaa in 1970, and Paul Werbos proposed to use it to train neural networks in 1974.[15]

His other contributions to neural network research include distributed representations, time delay neural network, mixtures of experts, Helmholtz machines and Product of Experts.

In 2016, he was elected a foreign member of National Academy of Engineering 'For contributions to the theory and practice of artificial neural networks and their application to speech recognition and computer vision'.[43]

He has won the BBVA Foundation Frontiers of Knowledge Award (2016) in the Information and Communication Technologies category 'for his pioneering and highly influential work' to endow machines with the ability to learn.[citation needed]

Hinton is the great-great-grandson both of logician George Boole whose work eventually became one of the foundations of modern computer science, and of surgeon and author James Hinton.[48]

Regarding existential risk from artificial intelligence, Hinton typically declines to make predictions more than five years into the future, noting that exponential progress makes the uncertainty too great.[52]

to be achieved for decades (“No sooner than 2070”), and that, in the context of a dichotomy earlier introduced by Bostrom between people who think managing existential risk from artificial intelligence is probably hopeless versus easy enough that it will be solved automatically, Hinton '[is] in the camp that is hopeless.”[53]

He has stated, “I think political systems will use it to terrorize people” and has expressed his belief that agencies like the National Security Agency (NSA) are already attempting to abuse similar technology.[53]

According to the same report, Hinton does not categorically rule out human beings controlling an artificial superintelligence, but warns that 'there is not a good track record of less intelligent things controlling things of greater intelligence'.[53]

Yann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning | AI Podcast

Yann LeCun is one of the fathers of deep learning, the recent revolution in AI that has captivated the world with the possibility of what machines can learn from ...

Heroes of Deep Learning: Andrew Ng interviews Yann LeCun

As part of the course

Yann LeCun: Can Neural Networks Reason? | AI Podcast Clips

This is a clip from a conversation with Yann LeCun on the Artificial Intelligence podcast. You can watch the full conversation here: If you ..

Yann LeCun: "Deep Learning and the Future of Artificial Intelligence”

Green Family Lecture Series 2018 "Deep Learning and the Future of Artificial Intelligence” Yann LeCun, New York University & Director of AI Research, ...

Yann LeCun - Power & Limits of Deep Learning

Yann LeCun is Director of AI Research at Facebook, and Silver Professor of Dara Science, Computer Science, Neural Science, and Electrical Engineering at ...

"The Power and Limits of Deep Learning" with Yann LeCun

Title: The Power and Limits of Deep Learning" Speaker: Yann LeCun Date: 7/11/2019 Abstract Deep Learning (DL) has enabled significant progress in ...

Yann LeCun on Autonomous Driving: Deep Learning is Obviously Part of the Solution | AI Podcast Clips

This is a clip from a conversation with Yann LeCun on the Artificial Intelligence podcast. You can watch the full conversation here: If you ..

Yann LeCun: Sophia and Does AI Need a Body? | AI Podcast Clips

This is a clip from a conversation with Yann LeCun on the Artificial Intelligence podcast. You can watch the full conversation here: If you ..

Yann LeCun: Human-Level Artificial Intelligence | AI Podcast Clips

This is a clip from a conversation with Yann LeCun from Aug 2019. New full episodes every Mon & Thu and 1-2 new clips or a new non-podcast video on all ...

Deep Learning and the Future of AI | Yann LeCun | Talk 1/2

Over the last few years, rapid progress in AI have enabled our smartphones, social networks, and search engines to understand our voice, recognize our faces, ...