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Here in 2020, it was DeepMind’s AI program called AlphaFold that unveiled a solution to the 50-year-old biological challenge of predicting the shape of proteins. Finding biology’s “holy grail” and deciphering the complex protein processes is expected to empower scientists to better understand the machinery of life and unlock opportunities for drug discovery.

https://www.invidio.us/watch?v=gg7WjuFs8F4

Demis Hassabis, the co-founder of DeepMind, told the BBC that his love of video games inspired the scientific breakthrough. Foldit, an online puzzle video game, challenged gamers with folding protein into a particular shape. The game led to the discovery of important structures for real proteins. That was the moment where videogames collided with science.

Foldit revealed how a group of gamers had trained their intuition and pattern-matching capabilities to do something that brute-force computer systems couldn’t do at the time by coming up with the right shapes. This was the moment that inspired Hassabis to question if AI could mimic the gamers’ same intuitive capability.

In another interview, Hassabis shared how they were using AI to solve intelligence, and then using that to solve everything else. The latest discovery suggests that DeepMind is beginning to play a pivotal role in decoding the language of life. However, the lack of a peer-reviewed paper prompted suspicion and criticism from academics.

Here in 2020, it was DeepMind’s AI program called AlphaFold that unveiled a solution to the 50-year-old biological challenge of predicting the shape of proteins. Finding biology’s “holy grail” and deciphering the complex protein processes is expected to empower scientists to better understand the machinery of life and unlock opportunities for drug discovery. https://www.invidio.us/watch?v=gg7WjuFs8F4 Demis Hassabis, the co-founder of DeepMind, told the BBC that his love of video games inspired the scientific breakthrough. Foldit, an online puzzle video game, challenged gamers with folding protein into a particular shape. The game led to the discovery of important structures for real proteins. That was the moment where videogames collided with science. Foldit revealed how a group of gamers had trained their intuition and pattern-matching capabilities to do something that brute-force computer systems couldn’t do at the time by coming up with the right shapes. This was the moment that inspired Hassabis to question if AI could mimic the gamers’ same intuitive capability. In another interview, Hassabis shared how they were using AI to solve intelligence, and then using that to solve everything else. The latest discovery suggests that DeepMind is beginning to play a pivotal role in decoding the language of life. However, the lack of a peer-reviewed paper prompted suspicion and criticism from academics.

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