Why it matters: Linear algebra underpins machine learning, enabling efficient data representation, transformation, and optimization for algorithms like regression, PCA, and neural networks. Python ...

Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...

Last month, the Sedona Conference Working Group 13 Annual Meeting and the ASU Arkfeld Conference on eDiscovery, Law, and ...

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

If you've been scrolling through Coursera's 500+ AI courses feeling overwhelmed, you're not alone—but the platform's 2026 updates have made the choice clearer than ever. With new professional ...

Background Joint analyses across multiple health datasets can increase statistical power and improve the generalisability of ...

A novel AI-assisted biosensor for choline quantification in milk combines chemiluminescence and smartphone technology, enabling efficient nutritional analysis.

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — boosting MMLU scores by 18 points over human baselines.