Machine learning unlocks mysteries of quantum physics
Understanding electrons' intricate behavior has led to discoveries that transformed society, such as the revolution in computing made possible by the invention of the transistor.
Understanding electrons' intricate behavior has led to discoveries that transformed society, such as the revolution in computing made possible by the invention of the transistor.
Superconductivity
Jun 20, 2019
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(Phys.org)—Children need access to technology if they want to succeed in the 21st century with so many of the world's transactions done over the internet, says Massey Professor Mark Brown.
Social Sciences
Jan 16, 2013
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Guided by machine learning, chemists at the Department of Energy's Oak Ridge National Laboratory designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material. ...
Analytical Chemistry
Nov 22, 2023
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481
Quantum computing promises to improve our ability to perform some critical computational tasks in the future. Machine learning is changing the way we use computers in our present everyday life and in science. It is natural ...
Quantum Physics
Jun 18, 2020
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133
Applying simple, ancient weaving techniques to newly recognized properties of organic crystals, researchers with the Smart Materials Lab (SML) and the Center for Smart Engineering Materials (CSEM) at NYU Abu Dhabi (NYUAD) ...
Analytical Chemistry
Nov 28, 2023
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160
Once confined to the realms of science fiction, near real-time translation devices that whisper discreetly into your ear during a conversation are finally coming of age thanks to leaps in artificial intelligence and cloud ...
Consumer & Gadgets
Jan 10, 2019
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71
Machine learning, a technique used in the artificial intelligence (AI) software behind self-driving cars and digital assistants, now enables scientists to address key challenges to harvesting on Earth the fusion energy that ...
Plasma Physics
Jun 24, 2021
1
152
Nanoengineers at the University of California San Diego have developed a computer-based method that could make it less labor-intensive to determine the crystal structures of various materials and molecules, including alloys, ...
Materials Science
Jan 30, 2020
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600
Finding defects in electron microscopy images takes months. Now, there's a faster way. It's called MENNDL, the Multinode Evolutionary Neural Networks for Deep Learning. It creates artificial neural networks—computational ...
Computer Sciences
Dec 28, 2018
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152
Over the past two years, machine learning has revolutionized protein structure prediction. Now, three papers in Science describe a similar revolution in protein design.
Molecular & Computational biology
Sep 15, 2022
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