SciTechDaily
By Chalmers University of Technology
June 17, 2026
Researchers in Sweden have developed a machine-learning approach that embeds the laws of physics directly into neural networks.
A new study from Chalmers University of Technology in Sweden shows that machine learning can become far more efficient when it starts with a built-in understanding of the laws of physics. Researchers found that giving an AI system this foundational knowledge dramatically reduced the time needed to develop advanced optical components used in technologies ranging from quantum computers to camera and eyeglass lenses.
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