Artificial intelligence, as a technique, refers to computational methods that enable machines to perform tasks that typically require human cognitive capabilities, such as perception, reasoning, learning, and decision-making. Core AI techniques include search and optimization algorithms, symbolic reasoning and knowledge representation, probabilistic inference, and machine learning approaches such as supervised, unsupervised, and reinforcement learning. These techniques often rely on statistical modeling, function approximation, and gradient-based optimization to construct models that generalize from data. AI techniques are implemented in software frameworks, integrated into pipelines for training, validation, and deployment, and are evaluated using task-specific performance metrics and robustness assessments.
Every day, researchers at the Department of Energy's SLAC National Accelerator Laboratory tackle some of the biggest questions in science and technology—from laying the foundations for new drugs to developing new battery ...
General Physics
Nov 27, 2024
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Research by astronomers and computer scientists at the University of Hawaiʻi Institute for Astronomy (IfA) could revolutionize our understanding of the sun. The study, part of the "SPIn4D" project, combines cutting-edge solar ...
Astronomy
Nov 25, 2024
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94
A team of AI researchers at Google DeepMind, working with a team of quantum researchers at Google Quantum AI, announced the development of an AI-based decoder that identifies quantum computing errors.
In an era where AI and data are driving the scientific revolution, quantum computing technology is emerging as another game-changer in the development of new drugs and new materials.
Quantum Physics
Nov 21, 2024
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147
AI-based technologies are rapidly learning to see, converse, calculate and create. One thing they still don't do well, however, is measure or "feel" surfaces—a purely mechanical function.
Optics & Photonics
Nov 18, 2024
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62
Researchers have developed a deep learning-based approach that significantly streamlines the accurate identification and classification of two-dimensional (2D) materials through Raman spectroscopy. In comparison, traditional ...
Nanomaterials
Nov 14, 2024
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In the quest to uncover the fundamental particles and forces of nature, one of the critical challenges facing high-energy experiments at the Large Hadron Collider (LHC) is ensuring the quality of the vast amounts of data ...
General Physics
Nov 13, 2024
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126
The close relationship between AI and highly complicated scientific computing can be seen in the fact that both the 2024 Nobel Prizes in Physics and Chemistry were awarded to scientists for devising AI for their respective ...
Quantum Physics
Oct 30, 2024
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134
Kory Burns, a professor at the University of Virginia School (UVA) of Engineering and Applied Science, is a materials science researcher who is using artificial intelligence to improve materials characterization. He and his ...
Nanophysics
Oct 24, 2024
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43
Researchers at Monash University have developed an artificial intelligence (AI) model that significantly improves the accuracy of four-dimensional scanning transmission electron microscopy (4D STEM) images.
Condensed Matter
Oct 23, 2024
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