The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

Google DeepMind, a United Kingdom-based artificial intelligence company, is widely regarded as one of the pioneers of modern AI.

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

The recognition is for a 2005 paper titled “Agnostically Learning Halfspaces,” which Klivans co-authored with Adam Tauman ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Is eliminating human safety drivers the turning point that could reshape the trajectory of Tesla’s valuation? Last weekend, ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

Machines are learning to lead. That might sound like science fiction, yet it's becoming the new reality across industries ...