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 ...

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

Yann LeCun, the chief AI scientist at Mark Zuckerberg’s Meta, said new breakthroughs are needed in order for the systems to understand and interact with the physical world. LeCun spoke as one of seven ...

Yann LeCun, born on July 8, 1960, in Soisy-sous-Montmorency, France, is a pioneering computer scientist renowned for his significant contributions to artificial intelligence (AI), machine learning ...

New York University’s Yann LeCun has been selected as a winner of the 2025 Queen Elizabeth Prize for Engineering—one of seven recognized for contributions to the advancement of Modern Machine ...

2023) is based on PyTorch data structures and integrates with its auto-differentiation functionality. The MNIST (LeCun et al., 1998b) dataset contains 70 000 28 × 28 gray scale images of handwritten ...

[1] D. P. Kingma and M. Welling, “Auto-Encoding Variational Bayes,” in International Conference on Learning Representations (ICLR), 2014, p. Arxiv: 1312.6114v10 ...

These are the kinds of questions that we have to grapple with.” On the second evening, Yann LeCun, the chief A.I. scientist at Meta, gave a keynote lecture titled “Mathematical Obstacles on ...

Yann LeCun, the chief AI scientist at Meta, weighed in on the subject in a now viral LinkedIn post: “To people who see the performance of DeepSeek and think: ‘China is surpassing the US in AI.’ ...

This repository contains implementation of various deep learning approaches for the MNIST handwritten digit classification task, using both scikit-learn and Keras frameworks. Small scalar autograd ...