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  2. Physics-informed neural networks - Wikipedia

    en.wikipedia.org/wiki/Physics-informed_neural...

    Physics-informed neural networks for solving Navier–Stokes equations. Physics-informed neural networks (PINNs), also referred to as Theory-Trained Neural Networks (TTNs), are a type of universal function approximators that can embed the knowledge of any physical laws that govern a given data-set in the learning process, and can be described by partial differential equations (PDEs).They ...

  3. List of unsolved problems in physics - Wikipedia

    en.wikipedia.org/wiki/List_of_unsolved_problems...

    List of unsolved problems in physics. The following is a list of notable unsolved problems grouped into broad areas of physics. [1] Some of the major unsolved problems in physics are theoretical, meaning that existing theories seem incapable of explaining a certain observed phenomenon or experimental result. The others are experimental, meaning ...

  4. Symbolic artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Symbolic_artificial...

    An artistic representation of AI. In artificial intelligence, symbolic artificial intelligence is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. [1] Symbolic AI used tools such as logic programming, production ...

  5. Google DeepMind AI software makes a breakthrough in ... - AOL

    www.aol.com/finance/google-deepmind-ai-software...

    Scientists at Google DeepMind, Alphabet's advanced AI research division, have created artificial intelligence software able to solve difficult geometry proofs used to test high school students in ...

  6. AI solves nuclear fusion puzzle for near-limitless clean energy

    www.aol.com/news/ai-solves-nuclear-fusion-puzzle...

    Scientists have used artificial intelligence to overcome a huge challenge for producing near-limitless clean energy with nuclear fusion.. A team from Princeton University in the US figured out a ...

  7. Stephen Wolfram on the Powerful Unpredictability of AI

    www.aol.com/news/stephen-wolfram-powerful...

    Scientific problems run right into this phenomenon I call computational irreducibility—to know what's going to happen, you have to explicitly run the rules. Language is something we humans have ...

  8. Machine learning in physics - Wikipedia

    en.wikipedia.org/wiki/Machine_learning_in_physics

    v. t. e. Applying classical methods of machine learning to the study of quantum systems is the focus of an emergent area of physics research. A basic example of this is quantum state tomography, where a quantum state is learned from measurement. [1] Other examples include learning Hamiltonians, [2] [3] learning quantum phase transitions, [4] [5 ...

  9. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and uses learning and intelligence to take actions that maximize their chances of achieving defined goals.

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