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, 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.
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.
AI in wrong hands could be ‘used for harm’, warns Sir Demis after Nobel win - The British computer scientist founded the AI start-up in 2010, which played a key role in helping solve the mystery of how protein structures form.
DeepMind and Isomorphic Labs’ successes in drug discovery include its AlphaFold 2 AI system, which can accurately predict the structure of proteins, a discovery for which Hassabis and his DeepMind colleague John Jumper received the Nobel Prize for chemistry last week.
Science is filled with tools that once seemed revolutionary and are now just part of the research tool kit. That time may have come for artificial intelligence
Google DeepMind CEO Demis Hassabis has been awarded the 2024 Nobel Prize in Chemistry for AlphaFold, an AI system that predicts 3D protein structures,
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
Alphabet reported strong financial results in the second quarter. Revenue increased 14% to $84.7 billion due to momentum in the cloud computing segement, and modest growth in the advertising segement. Meanwhile, GAAP net income jumped 31% to $1.89 per diluted share as the company continued to prioritize disciplined cost control.
Does AlphaFold’s monumental achievement justify Nobel recognition and set a precedent for AI-powered breakthroughs in global scientific accolades?