Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

Kristen Smigielski, Ph.D., was born and raised in Buffalo, New York, in a family of educators. Her grandfather, grandmother, ...

XRP sentiment hits extreme negativity with Fear & Greed at 24. Research shows sentiment extremes predict reversals with 70-91 ...

At the heart of the friction is a simple contrast. The ledger must be immutable, reconcilable to the last decimal, and ...

Scottsdale Unified School District launches 'Math Powers Possibility,' an initiative to increase the number of students ...

Broadcom enters 2026 at an inflection point, with strong tailwinds from its ASIC and Networking segments. Read why AVGO stock ...

Simple strategies and smart pantry moves to help you eat well, save money and start the new year with confidence ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

MarketWatch asked the leading LLMs for their top stock picks — but the answers suggest AI may be following the herd instead ...

We have curated the best books on AI for general readers including Karen Hao's popular Empire of AI, Parmy Olson's Supremacy, ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable model for predicting the performance of licensure examination takers. Released ...