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 ...

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

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, ...

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

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.

By reviewing three decades of AI applications in electrocatalysis, researchers reveal how the field has shifted from isolated data analysis toward end-to-end, data-driven discovery. The work ...

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 ...

Companies ranging from OpenAI, Meta, Microsoft, and Google to smaller firms and startups are looking for high-quality AI ...

OpenAI’s Zoe Hitzig and Anthropic’s Mrinank Sharma quit within weeks, warning of ethical drift as ChatGPT tests ads. The move ...

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 ...