Yann LeCun used to head research at Meta. He’s a pre-eminent voice in tech, and took the stage at Davos this January to talk about some of the dynamics in play here. In interviewing LeCun for segment ...

LeCun has advocated for open-source models, saying that these systems should not be controlled by a small number of people.

The cake analogy, initially introduced by AI pioneer Yann LeCun, likened AI learning to a layered cake: unsupervised learning ...

Global experts began debating the threats and promise of artificial intelligence (AI) at a gathering in Paris on Thursday and ...

As AI action summit kicks off in Paris, FRANCE 24's tech editor, Peter O'Brien meet Yann LeCun, chief AI scientist of Meta, ...

This repository demonstrates MNIST digit classification using deep learning. It includes a neural network model built with frameworks like TensorFlow to classify handwritten digits (0-9) from the ...

“I think the shelf life of the current [AI] paradigm is fairly short, probably three to five years,” LeCun added. “We’re going to see the emergence of a new paradigm for AI architectures, which may ...

A PyTorch implementation of a conditional diffusion model for generating MNIST digits. This project demonstrates the application of denoising diffusion probabilistic models (DDPM) to generate ...

Yann LeCun, Meta’s Chief AI Scientist, predicts future AI systems will have emotions, considering them an essential part of their design. Emotions will arise from AI agents being driven by ...