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Physics-informed neural networks for solving Navier–Stokes equations. Physics-informed neural networks (PINNs), [1] also referred to as Theory-Trained Neural Networks (TTNs), [2] 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).
Applying machine learning (ML) (including deep learning) methods to the study of quantum systems is an emergent area of physics research.A basic example of this is quantum state tomography, where a quantum state is learned from measurement. [1]
Artificial gravity is the creation of an inertial force that mimics the effects of a gravitational force, usually by rotation. [1] Artificial gravity, or rotational gravity, is thus the appearance of a centrifugal force in a rotating frame of reference (the transmission of centripetal acceleration via normal force in the non-rotating frame of ...
The 2024 Nobel Prize in physics has been awarded to John Hopfield and Geoffrey Hinton for their fundamental discoveries in machine learning, which paved the way for how artificial intelligence is ...
Journal for the History of Astronomy; Journal of Astronomical History and Heritage; Journal of Astrophysics and Astronomy; Journal of the American Association of Variable Star Observers; Journal of Astronomical Instrumentation; Journal of Astronomical Telescopes, Instruments, and Systems; Journal of the British Astronomical Association
Artificial general intelligence (AGI) is a hypothetical artificial intelligence that demonstrates a human-like ability to learn. AGI is a machine which could do all human activities with the efficiency of a machine. It is a primary goal of artificial intelligence research and a common topic among science fiction writers and futurists.
Astrophysics and Space Science; Canadian Journal of Physics; European Physical Journal D; IEEE Transactions on Plasma Science; Journal of Applied Physics; Journal of Geophysical Research; Journal of Nuclear Materials; Journal of Physics D; Journal of Technological and Space Plasmas; Journal of Vacuum Science and Technology; Physical Review E ...
John Hopfield dreamed up the modern neural network while at Caltech. Geoffrey Hinton built on it, creating an AI firm that Google bought for $44 million.