Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?

Using an advanced machine-learning algorithm, researchers in the UK and Japan have identified several promising candidate locations for the long-lost landing site of the Soviet Luna 9 spacecraft.

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It ...

This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...

Written in Python, Freqtrade is a free, open-source crypto trading bot that works with all major exchanges and can be operated using Telegram or WebUI. It is great at automating tactics through ...