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  2. AlphaFold - Wikipedia

    en.wikipedia.org/wiki/AlphaFold

    The AlphaFold Protein Structure Database was launched on July 22, 2021, as a joint effort between AlphaFold and EMBL-EBI. At launch the database contains AlphaFold-predicted models of protein structures of nearly the full UniProt proteome of humans and 20 model organisms , amounting to over 365,000 proteins.

  3. AI boom - Wikipedia

    en.wikipedia.org/wiki/AI_boom

    The AI boom [1] [2] is an ongoing period of rapid progress in the field of artificial intelligence (AI) that started in the late 2010s before gaining international prominence in the 2020s. Examples include protein folding prediction led by Google DeepMind as well as large language models and generative AI applications developed by OpenAI .

  4. Google DeepMind CEO wins joint Nobel Prize in chemistry for ...

    www.aol.com/google-deepmind-ceo-wins-joint...

    Google acquired the startup for $400 million in 2014 and merged it with Google AI's division, Google Brain, to create Google DeepMind in April 2023. Read the original article on Business Insider ...

  5. Predicted Aligned Error - Wikipedia

    en.wikipedia.org/wiki/Predicted_Aligned_Error

    Interpretation of PAE values allows scientists to understand the level of confidence in the predicted structure of a protein: Lower PAE values between residue pairs from different domains indicate that the model predicts well-defined relative positions and orientations for those domains.

  6. List of artificial intelligence projects - Wikipedia

    en.wikipedia.org/wiki/List_of_artificial...

    1 the Road, the first novel marketed by an AI. [75] AlphaFold is a deep learning based system developed by DeepMind for prediction of protein structure. [76] Otter.ai is a speech-to-text synthesis and summary platform, which allows users to record online meetings as text. It additionally creates live captions during meetings.

  7. AlphaGo Zero - Wikipedia

    en.wikipedia.org/wiki/AlphaGo_Zero

    Unlike earlier versions of AlphaGo, Zero only perceived the board's stones, rather than having some rare human-programmed edge cases to help recognize unusual Go board positions. The AI engaged in reinforcement learning, playing against itself until it could anticipate its own moves and how those moves would affect the game's outcome. [10]

  8. Timeline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_machine_learning

    Warren McCulloch and Walter Pitts develop a mathematical model that imitates the functioning of a biological neuron, the artificial neuron which is considered to be the first neural model invented. [12] 1950: Turing's Learning Machine: Alan Turing proposes a 'learning machine' that could learn and become artificially intelligent.

  9. Isomorphic Labs - Wikipedia

    en.wikipedia.org/wiki/Isomorphic_Labs

    It was established under Alphabet Inc. as a spin-off from its AI research lab DeepMind, of which Hassabis is also founder and CEO. [2] [3] [7] The company draws upon DeepMind's AlphaFold technology, which can be used to predict protein structures in the human body with high accuracy, allowing its researchers to find new target pathways for drug ...