Advances in machine learning (ML) and deep learning (DL) are undoubtedly enabling significant breakthroughs in all areas of science and technology. ML/DL models, however, do not necessarily obey the ...
A new study describes how machine learning tools, run on classical computers, can be used to make predictions about quantum systems and thus help researchers solve some of the trickiest physics and ...
Machine learning can get a boost from quantum physics. On certain types of machine learning tasks, quantum computers have an exponential advantage over standard computation, scientists report in the ...
Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it? When Radha Mastandrea started her undergraduate physics program at MIT in 2015, she ...
Morning Overview on MSNOpinion
When should you jump? The “boiling frog” trap of AI in physics class
Artificial intelligence is sliding into physics classrooms so smoothly that it can feel like a harmless upgrade rather than a ...
In The Physics Teacher, a physics professor-turned-AI-researcher explores the uses of generative AI to teach physical science. Gerd Kortemeyer compares the constantly increasing physics capabilities ...
Expectations were running high. For months, the Stanford Linear Collider (SLC), an innovative particle accelerator nearing completion at the Stanford Linear Accelerator Facility (SLAC) in Palo Alto, ...
STOCKHOLM (AP) — Two pioneers of artificial intelligence — John Hopfield and Geoffrey Hinton — won the Nobel Prize in physics Tuesday for helping create the building blocks of machine learning that is ...
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