The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

Giving AI a human-like memory limitation may actually help it learn language better. In their new proof-of-principle study, ...

The path from block-based programming to vibe coding represents a shift from mastering the mechanics of implementation to ...

Researchers have developed an artificial intelligence model that predicts crime more accurately than several existing ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...

Google published a research paper on how to extract user intent from user interactions that can then be used for autonomous agents. The method they discovered uses on-device small models that do not ...

AI chatbots are reshaping the open web, sparking legal battles and ethical questions over consent, data scraping, and who ...