Future of AI Part 5: The Cutting Edge of AI
Machine learning, explained | MIT Sloan
Geoffrey Hinton - Wikipedia
Machine Learning in Predictive Toxicology: Recent Applications and Future Directions for Classification Models | Chemical Research in Toxicology
![Lecture 1.1 — Why do we need machine learning [Neural Networks for Machine Learning] - YouTube](https://i.ytimg.com/vi/cbeTc-Urqak/mqdefault.jpg "Lecture 1.1 — Why do we need machine learning [Neural Networks for Machine Learning] - YouTube")
Lecture 1.1 — Why do we need machine learning [Neural Networks for Machine Learning] - YouTube
Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials
Meet the Man Google Hired to Make AI a Reality | WIRED
Geoff Hinton speaks about his latest research and the future of AI - YouTube
What is the “forward-forward” algorithm, Geoffrey Hinton's new AI technique? - TechTalks
The future of deep learning, according to its pioneers | VentureBeat
Future of machine learning, w. Geoffrey Hinton, Yoshua Bengio, Yann LeCun (Part 2) - Robohub
10 years later, deep learning 'revolution' rages on, say AI pioneers Hinton, LeCun and Li | VentureBeat
How U of T's 'godfather' of deep learning is reimagining AI | University of Toronto
Deep learning pioneer Geoffrey Hinton quits Google | MIT Technology Review
Geoffrey Hinton Leaves Google and Warns of Future Dangers in AI
What You Need To Know About Machine Learning
Deep learning | Nature
Artificial intelligence: A powerful paradigm for scientific research - ScienceDirect
Geoffrey Hinton on the Evolution and Future of Artificial Neural Networks – AiTech Journal
The Future of ML: Unsupervised Learning, Reinforcement Learning, or Something Else?
Deep Learning's Long Development Continues | Bench Talk
Geoffrey Hinton, the 'godfather' of AI, leaves Google and warns of tech's dangers | Science & Tech | EL PAÍS English
