A PyTorch implementation of Yann LeCun's LeNet-5 architecture for handwritten digit recognition on the MNIST dataset, achieving 98.85% test accuracy.

A PyTorch implementation of Yann LeCun's LeNet-5 architecture for handwritten digit recognition on the MNIST dataset, achieving 98.85% test accuracy.

Meta's AI chief Yann LeCun slams the industry's obsession with bigger models, saying scaling alone won't deliver real ...

Yann LeCun, Meta's chief AI scientist and one of the pioneers of artificial intelligence, believes LLMs will be largely ...

France’s attempt to recruit U.S.-based researchers is a “smart move,” said Yann LeCun, who moved from France to the U.S. in ...

Yann LeCun, Chief AI Scientist at Meta, believes LLMs are doomed due to their inability to represent the high-dimensional ...

AI is a big deal. What does it mean? How do we decipher the hockey stick projection around AI’s increasing dominance in markets and industries? Much of this people can understand intuitively – that ...