Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

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 ...

Overview: LinkedIn in 2026 is more than a resume platform, it’s a visibility engine powered by AI-driven search and engagement algorithms.Success depends on pro ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

LONDON, UNITED KINGDOM, February 19, 2026 /EINPresswire.com/ -- Brands are scrambling to understand the new currency of ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

Branchbrook, NJ / Syndication Cloud / February 10, 2026 / Jane Tabachnick & Co Recent analysis from NPD BookScan ...

A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.

Explore how new businesses can gain visibility in AI-generated search results and improve their chances of AI visibility.

In December 2019, industry leaders gathered their boldest predictions for retail’s next chapter. They anticipated retail ...