AlphaFold
Protein Families Deciphered: Machine Learning Categorizes Proteins Based on Their Functions
Convolutional neural networks separate proteins into functional families without considering their shapes.
AlphaFold
18 Posts
AlphaFold
Protein Families Deciphered: Machine Learning Categorizes Proteins Based on Their Functions
Convolutional neural networks separate proteins into functional families without considering their shapes.
AlphaFold
Transformers Take Over: Transformers Applied to Vision, Language, Video, and More
In 2021, transformers were harnessed to discover drugs, recognize speech, and paint pictures — and much more.
AlphaFold
Transformers Take Over: Transformers Applied to Vision, Language, Video, and More
In 2021, transformers were harnessed to discover drugs, recognize speech, and paint pictures — and much more.
AlphaFold
DeepMind Doubles Down on AlphaFold: DeepMind Launches Company to Commercialize AlphaFold 2
Isomorphic aims to build its business on AlphaFold 2, an ensemble of neural networks that finds the shapes of protein molecules.
AlphaFold
DeepMind Doubles Down on AlphaFold: DeepMind Launches Company to Commercialize AlphaFold 2
Isomorphic aims to build its business on AlphaFold 2, an ensemble of neural networks that finds the shapes of protein molecules.
AlphaFold
Biomedical Treasure Chest: DeepMind open sources AlphaFold and protein databases.
DeepMind opened access to AlphaFold, a model that finds the shapes of proteins, and to its output so far — a potential cornucopia for biomedical research. The research lab, a division of Google’s parent company Alphabet, made AlphaFold freely available.
AlphaFold
Biomedical Treasure Chest: DeepMind open sources AlphaFold and protein databases.
DeepMind opened access to AlphaFold, a model that finds the shapes of proteins, and to its output so far — a potential cornucopia for biomedical research. The research lab, a division of Google’s parent company Alphabet, made AlphaFold freely available.
AlphaFold
Materials Science Gets a Boost: How AI can speed up materials science.
Neural nets could speed up development of new materials.What’s new: A deep learning system from Sandia National Laboratories dramatically accelerated simulations that help scientists understand how changes to the design or fabrication of a material change its properties.
AlphaFold
Materials Science Gets a Boost: How AI can speed up materials science.
Neural nets could speed up development of new materials.What’s new: A deep learning system from Sandia National Laboratories dramatically accelerated simulations that help scientists understand how changes to the design or fabrication of a material change its properties.
AlphaFold
The Model Will See You Now: The rise of medical AI in 2020
Institutional hurdles to AI for medicine began to fall, setting the stage for widespread clinical use of deep learning in medical devices and treatments. DeepMind’s AlphaFold model determined the three-dimensional shape of a protein in just hours.
AlphaFold
The Model Will See You Now: The rise of medical AI in 2020
Institutional hurdles to AI for medicine began to fall, setting the stage for widespread clinical use of deep learning in medical devices and treatments. DeepMind’s AlphaFold model determined the three-dimensional shape of a protein in just hours.
AlphaFold
AI Takes on Coronavirus: CORD-19 is a free dataset of 30,000 coronavirus articles.
Machine learning thrives on data, but information about the novel coronavirus and the illness it produces has been either thin or hard to access. Now researchers are pooling resources to share everything we do know.
AlphaFold
AI Takes on Coronavirus: CORD-19 is a free dataset of 30,000 coronavirus articles.
Machine learning thrives on data, but information about the novel coronavirus and the illness it produces has been either thin or hard to access. Now researchers are pooling resources to share everything we do know.
AlphaFold
Protein Shapes Revealed: A summary of the AlphaFold research paper
A protein’s biological function depends largely on its three-dimensional shape, but deducing its shape from its sequence of amino acids has been a longstanding problem. Researchers at DeepMind reveal how they used deep learning to solve the puzzle.
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