Geoffrey Hinton
Geoffrey Hinton
Professor University of Toronto 76 YEARS YOUNG
Geoffrey Hinton is a renowned artificial intelligence researcher and computer scientist. He is currently a professor at the University of Toronto and works as a senior researcher at Google Brain. Dr. Hinton has significantly contributed to deep learning, revolutionizing machine learning and artificial intelligence. He is also known for his work on Boltzmann machines, backpropagation algorithms, and convolutional neural networks.
Geoffrey Hinton received his Ph.D. in Artificial Intelligence from Edinburgh in 1978. After five years as a faculty member at Carnegie-Mellon became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science at the University of Toronto, where he is now an emeritus professor. He is also a VP Engineering fellow at Google and Chief Scientific Adviser at the Vector Institute.
Geoffrey Hinton was one of the researchers who introduced the backpropagation algorithm and was the first to use backpropagation for learning word embeddings. His other contributions to neural network research include Boltzmann machines, distributed representations, time-delay neural nets, mixtures of experts, variational learning, and deep learning. His research group in Toronto made breakthroughs in deep learning that revolutionized speech recognition and object classification.
Geoffrey Hinton received his Ph.D. in Artificial Intelligence from Edinburgh in 1978. After five years as a faculty member at Carnegie-Mellon became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science at the University of Toronto, where he is now an emeritus professor. He is also a VP Engineering fellow at Google and Chief Scientific Adviser at the Vector Institute.
Geoffrey Hinton was one of the researchers who introduced the backpropagation algorithm and was the first to use backpropagation for learning word embeddings. His other contributions to neural network research include Boltzmann machines, distributed representations, time-delay neural nets, mixtures of experts, variational learning, and deep learning. His research group in Toronto made breakthroughs in deep learning that revolutionized speech recognition and object classification.
Fun Facts
His student Ilya Sutskever is the Chief Scientist at OpenAI
He left Carnegie Mellon University, for Canada because he was reluctant to take Pentagon funding.
Memorable Quotations2
Reinforcement Learning by Human Feedback is just parenting for a supernaturally precocious child.
Caterpillars extract nutrients which are then converted into butterflies. People have extracted billions of nuggets of understanding and GPT-4 is humanity's butterfly.
In a sensibly organized society, if you improve productivity, there is room for everybody to benefit.
In the brain, you have connections between the neurons called synapses, and they can change. All your knowledge is stored in those synapses.
Computers will understand sarcasm before Americans do.
Making everything more efficient should make everybody happier.
I console myself with the normal excuse: If I hadn’t done it, somebody else would have.
Notable Awards
Turing Award – 2018
Honda Prize – 2019
Summary of recent tweets
Geoffrey Hinton has been tweeting about various topics lately. In some of his tweets, he discusses interesting phenomena related to waves and interference patterns created by boats on water. He ponders how these patterns could be achieved and observed in a specific way across a lake. Additionally, he shares an anecdote about seeing the Loch Ness monster swimming in Lake Huron during the summer. He describes the creature's undulating movement and big black humps. In terms of AI trends, Geoffrey Hinton comments on the opinions of other AI researchers. He mentions Yann LeCun's belief that the risk of AI taking over is minuscule, emphasizing LeCun's confidence in his own opinion rather than considering multiple qualified experts' viewpoints. Hinton also highlights Fei-Fei Li's book that explores the potential and dangers of AI, specifically focusing on computer vision research and its connection to deep learning. Regarding sentiment analysis, it is difficult to determine a clear positive or negative sentiment from Geoffrey Hinton's recent tweets about AI. However, it seems he expresses concerns about certain aspects of AI development. For example, he suggests that big companies may support regulations as they can reduce legal liability for accidents related to self-driving cars. Furthermore, Hinton mentions leaving Google so that he could freely discuss existential threats posed by AI without any constraints. Overall, while Geoffrey Hinton covers diverse topics in his recent tweets ranging from scientific observations to discussions on AI trends and concerns, there isn't a strong indication of whether he holds a positive or negative view towards the direction of AI development at present.Books By Professor Geoffrey Hinton
Unsupervised Learning
Videos Featuring Professor Geoffrey Hinton
"Godparents" of artificial intelligence on the impact of AI
"Godfather of AI" Geoffrey Hinton: The 60 Minutes Interview
"Godfather of AI" Geoffrey Hinton | Sunday on 60 Minutes
In conversation with the Godfather of AI
The Godfather in Conversation: Why Geoffrey Hinton is worried about the future of AI
Geoffrey Hinton - Two Paths to Intelligence
“Godfather of AI” Geoffrey Hinton Warns of the “Existential Threat” of AI | Amanpour and Company
Hinton: #artificial #intelligence 'may overtake us soon'
'Godfather of AI' warns that AI may figure out how to kill people
Full interview: "Godfather of artificial intelligence" talks impact and potential of AI