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

Discover the top predictive trading software for crypto in 2026, including AI-driven bots and algorithmic tools.

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.

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

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

Although the AI-supported stethoscope shows promise, both studies highlight further research across more diverse clinical environments and populations is necessary. Additionally, while the AI ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Semiconductor manufacturer GlobalFoundries developed three practical AI-based solutions. The solutions assist with productivity, quality and maintenance. All three solutions are designed for ...