DeepMind’s AI makes Gigantic Leap in Solving Protein Structures | AI | Alphafold
Proteins are the fundamental building blocks of life, and they are responsible for the vast majority of events that take place within cells. Proteins have a tendency to take on their final structure on their own, governed exclusively by the rules of physics. Proteins, and how they move and change, are involved in nearly every function that our body performs, such as contracting muscles, sensing light, and converting food into energy. DeepMind, the subsidiary of Alphabet, the parent company of Google, specializing in artificial intelligence, gained fame in 2016 when it achieved the feat of beating the world champion of go, an Asian strategy game, with its AlphaGo program. The following year, DeepMind got even stronger with AlphaZero, a program that learned the game of Go by playing games against itself, which allowed It to crush the previous champion, AlphaGo. 00:00:00 - Introduction 00:02:12 - Literary Review 00:05:35 - Purpose of AlphaFold 00:09:21 - Approach of AlphaFold 00:12:10 - Results of Alphafold 00:17:27 - The Impact 00:19:30 - Thank you for watching Links: Github - https://github.com/deepmind/deepmind-research/tree/master/alphafold_casp13 #ai #machinelearning #deepmind #buildingabrain #alphafold #proteinstructure
Proteins are the fundamental building blocks of life, and they are responsible for the vast majority of events that take place within cells. Proteins have a tendency to take on their final structure on their own, governed exclusively by the rules of physics. Proteins, and how they move and change, are involved in nearly every function that our body performs, such as contracting muscles, sensing light, and converting food into energy. DeepMind, the subsidiary of Alphabet, the parent company of Google, specializing in artificial intelligence, gained fame in 2016 when it achieved the feat of beating the world champion of go, an Asian strategy game, with its AlphaGo program. The following year, DeepMind got even stronger with AlphaZero, a program that learned the game of Go by playing games against itself, which allowed It to crush the previous champion, AlphaGo. 00:00:00 - Introduction 00:02:12 - Literary Review 00:05:35 - Purpose of AlphaFold 00:09:21 - Approach of AlphaFold 00:12:10 - Results of Alphafold 00:17:27 - The Impact 00:19:30 - Thank you for watching Links: Github - https://github.com/deepmind/deepmind-research/tree/master/alphafold_casp13 #ai #machinelearning #deepmind #buildingabrain #alphafold #proteinstructure