On Tuesday, seven AI pioneers took home the 2025 Queen Elizabeth Prize for Engineering, a top award for groundbreaking innovations in science and engineering. They include Yoshua Bengio, Geoffrey ...

Hinton, 76, is by far the better-known of the two. Sometimes referred to as one of the “godfathers of AI” —along with Yoshua ...

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 Learning ...

One of the “godfathers” of modern artificial intelligence has predicted a further revolution in the technology by the end of ...

Academics can be as influential as tech bros in swaying policymakers to both invest in and set guardrails for the powerful ...

Geoffrey Hinton, John Hopfield, Yann LeCun, Jensen Huang, Bill Dally, and Fei-Fei Li have been pivotal in advancing the three core pillars of Modern Machine Learning, namely advanced algorithms, ...

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 ...

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.

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.’ ...

Yann LeCun said that Europe and some countries are trying to make open-source models illegal because they want to stay ahead of political rivals, which is a "huge mistake." He made the comments ...

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 ...

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.