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 ...

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.’ ...

Elizabeth “Betty” Marie Yann, 101, died peacefully at the Nazareth Home-Clifton on January 25, 2025. Betty was born December 31, 1923, in Lebanon, Kentucky to Richard and Marie Cooper and came ...

Meta’s Chief AI scientist Yann LeCun has given his assessment about the success that DeepSeek is enjoying in the artificial intelligence industry. According to LeCun, the biggest point to note in its ...

For Meta's chief AI scientist, Yann LeCun, the biggest takeaway from DeepSeek's success wasn't the heightened threat posed by Chinese competition but the value of keeping AI models open-source so ...

“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 ...

"It is not clear that any entity has this amount of money to invest, even over five years," LeCun said in an interview on Thursday. "This is certainly what is lacking in Europe in terms of ...

Meta's chief AI scientist, Yann LeCun, says that a "new paradigm of AI architectures" will emerge in the next three to five years, going far beyond the capabilities of existing AI systems.