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

The release comes as governments and enterprises face growing constraints on power availability, environmental impact, and data control associated with large AI data centers. As A ...

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

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Hooker says she wants to "eliminate prompt engineering" with AI models that intuitively adapt to varying tasks ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

Bridging speed and accuracy in radiation therapy QA Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and accuracy of EPID-based ...

These 4 critical AI vulnerabilities are being exploited faster than defenders can respond ...

A major highlight of 2025 was the rapid progress in artificial intelligence (AI) for the detection and assessment of VHD.