Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

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 ...

Traditional algorithms power complicated computational tools like machine learning. A new approach, called algorithms with predictions, uses the power of machine learning to improve algorithms.

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

A number of agencies are enthusiastically working to develop tools that involve artificial intelligence and machine learning. The Department of Veterans Affairs, for instance, had the third-largest ...

There's no more important topic than machine learning in the developer space right now as advanced AI constructs like ChatGPT and Microsoft's "Copilot" assistants are transforming the industry. With ...

If the question is how to control harmful content, Davey Winder considers whether the answer is machine learning? The proposed introduction of new safety features from Apple to address the problem of ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

You’re managing a federal agency contact center when someone calls in with a bomb threat targeting a government building. The employee immediately begins ...