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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 ...
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).
An online system named ePathshala, a joint initiative of NCERT and Ministry of Human Resource Development, has been developed for broadcasting educational e-schooling resources including textbooks, audio, video, publications, and a variety of other print and non-print elements, [18] ensuring their free access through mobile phones and tablets ...
It equips developers with powerful tools to ensure that AI solutions are fair, inclusive, and transparent across various domains, including text and image processing. Guided by the principles of the Rome Call for AI Ethics, Algorethics emphasizes the protection of human dignity and the promotion of the common good through ethical AI.
Mean field game theory is the study of strategic decision making in very large populations of small interacting agents. This class of problems was considered in the economics literature by Boyan Jovanovic and Robert W. Rosenthal, in the engineering literature by Peter E. Caines, and by mathematicians Pierre-Louis Lions and Jean-Michel Lasry.
The Feynman Lectures on Physics. The Feynman Lectures on Physics is a physics textbook based on a great number of lectures by Richard Feynman, a Nobel laureate who has sometimes been called "The Great Explainer". [1] The lectures were presented before undergraduate students at the California Institute of Technology (Caltech), during 1961–1964.
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 that there is a difficulty in ...
Spouse. Rajalakshmi Aggarwal. Bhavish Aggarwal (born 28 August 1985) is an Indian entrepreneur. He is the co-founder and CEO of Ola Consumer, founder of Ola Electric [1] and founder of OlaKrutrim, a large language model artificial intelligence (AI) company which became India’s first AI unicorn in 2024 an estimated valuation of $1 billion. [2][3]