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Book Synopsis
This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.

Artificial Intelligence For Science: A Deep

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£121.50

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RRP £135.00 – you save £13.50 (10%)

Order before 4pm tomorrow for delivery by Wed 21 Jan 2026.

A Hardback by Alok Choudhary, Geoffrey C Fox, Tony Hey

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    View other formats and editions of Artificial Intelligence For Science: A Deep by Alok Choudhary

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 25/04/2023
    ISBN13: 9789811265662, 978-9811265662
    ISBN10: 9811265666
    Also in:
    Machine learning

    Description

    Book Synopsis
    This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.

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