Artificial intelligence has just cracked a problem that has frustrated condensed matter theorists for decades, turning a long-standing maze in frustrated magnet physics into a solved benchmark. By ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

The fundamental nature of living things challenges assumptions that physicists have held for centuries.

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 ...

Turbulence, temperature changes, water vapor, carbon dioxide, ozone, methane, and other gases absorb, reflect, and scatter sunlight as it passes through the atmosphere, bounces off the Earth’s surface ...

Xaba’s AI-powered software solutions enables robots to self-generate programming of Robots and CNC machinery. The company hopes to remediate machining methods typically relegated to more expensive and ...

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Don’t know your convolutional neural networks from your boosted decision trees? Symmetry is here to help. It’s time for some deep learning. Check out this list to pick up some new terminology—and ...

From solar panels to nanoscale machines, physics applications of origami and kirigami have surged in recent years. Simon Perks reports (Courtesy: iStock/Li Kim Goh) We’ve all admired the delicate ...