The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Luna 9 touched down on the Moon on February 3, 1966. Exactly where is still a mystery.

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Algorithms shape search, social media, and reputations, prioritizing relevance, engagement, quality, and machine ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...

In 2021, a unit of healthcare giant Johnson & Johnson announced “a leap forward”: It had added artificial intelligence to a ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

A new light-based imaging approach has produced an unprecedented chemical map of the Alzheimer’s brain. Rice University researchers have produced what they describe as the first full, label-free ...