Google DeepMind scientists and biochemist win Nobel chemistry prize

Q: How long will it take to read this news story?

The story "Google DeepMind scientists and biochemist win Nobel chemistry prize" has 1528 words across 33 sentences, which will take approximately 7 - 13 minutes for the average person to read.

Q: Which news outlet covered this story?

The story "Google DeepMind scientists and biochemist win Nobel chemistry prize" was covered 20 hours ago by The Guardian, a news publisher based in United Kingdom.

Q: How trustworthy is 'The Guardian' news outlet?

The Guardian is a fully independent (privately-owned) news outlet established in 1821 that covers mostly artificial-intelligence and technology news. The outlet is headquartered in United Kingdom and publishes an average of 4 news stories per day. It's most recent story was published 20 hours ago.

Q: What do people currently think of this news story?

The sentiment for this story is currently Negative, indicating that people regard this as "bad news".

Q: How do I report this news for inaccuracy?

You can report an inaccurate news publication to us via our contact page. Please also include the news #ID number and the URL to this story.<ul><li>News ID: #22970607</li><li>URL: https://beamstart.com/news/google-deepmind-scientists-and-biochemist-17284984</li></ul>

The Guardian 20h ago

Google DeepMind scientists and biochemist win Nobel chemistry prize - The Guardian

Quick Summary:

Demis Hassabis and John Jumper of DeepMind and computational biologist David Baker share prize for protein structure breakthroughsTwo scientists at Google DeepMind and an American biochemist have been awarded the 2024 Nobel prize in chemistry for breakthroughs in predicting and designing the structure of proteins.

Demis Hassabis, DeepMind’s British founder, and John Jumper, who led the development of the company’s AI model AlphaFold– which predicts the structure of proteins based on their chemical sequence – share half of the prize.Continue reading...

Hassabis said that Alphafold should be viewed as proof of AI’s potential for accelerating scientific discovery – and for benefiting society butadded that as a “dual purpose technology” AI also had the potential to be used for harm.“I’ve always felt it would be one of the most transformative technologies in human history,” he said.