Demis Hassabis, the CEO of Google DeepMind, recently discussed what he thinks will be the next phase of AI after chatbots.

Demis Hassabis — co-founder and CEO of Google DeepMind, and one of the world's top AI pioneers — says the technology's coming power has been clear for so long that he's amazed the rest of the world took so long to catch on.

A big moment for AI was its 1955 coinage, but this year’s Nobel haul qualifies too. Laureate Geoffrey Hinton, famously ‘a man who never sits down,’ had computers mimic the human brain for ‘deep learning’ while Demis Hassabis set up DeepMind,

Demis Hassabis cofounded DeepMind, the renowned AI lab acquired by Google in 2014. He is also a former chess prodigy and won the Nobel Prize for Chemistry.

In the 15 years since it was founded, Google DeepMind has grown into one of the world’s foremost artificial intelligence research and development labs. In October, its chief executive and co-founder Sir Demis Hassabis was one of three joint recipients of this year’s Nobel Prize in chemistry for unlocking a 50-year-old problem: predicting the structure of every known protein using AI software known as AlphaFold.

One of this year’s Nobel Prize winners in physics, Geoffrey Hinton, who pioneered work on the neural networks that undergird artificial intelligence, has warned that machines might someday get smarter

Google DeepMind's 10-year roadmap to AGI, is outlined by DeepMind CEO Demis Hassabis who discusses multimodal Gemini AI models for

Hours after the artificial intelligence pioneer Geoffrey Hinton won a Nobel Prize in physics, he drove a rented car to Google’s California headquarters to celebrate.

Google DeepMind CEO Demis Hassabis has been awarded the 2024 Nobel Prize in Chemistry for AlphaFold, an AI system that predicts 3D protein structures,

David Baker, Demis Hassabis and John Jumper won this year's Nobel prize in chemistry. Jamie Durrani investigates the origins of a biochemistry revolution

诺贝尔奖得主 Demis Hassabis 近日接受英国《金融时报》采访，谈论了 AI 在科学研究中的作用和影响。他认为，AI 已经到达一个分水岭，人们认识到它实际上已经足够成熟，可以帮助科学发现。 Hassabis 表示，AlphaFold 预示着科学发现的新时代。他希望10年后回顾 AlphaFold，它将预示着所有这些不同领域的科学发现进入一个新的黄金时代。

Adobe has announced a new tool to help creators watermark their work and opt out of having it used to train generative AI models. The web app, called Adobe Content Authenticity, also gives artists the opportunity to add “content credentials,” including their verified identity, social media handles, or other online domains, to their work.