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

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 ...

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 ...

Traditional QSRR models are limited to single-column predictions, hindering adaptability across diverse LC setups in pharmaceutical settings. The new ML-based approach predicts retention times using ...

We present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations ...

Traditional interwell connectivity analysis methods for water-flooding reservoirs suffer from two major limitations: insufficient integration of seepage physics, leading to poor interpretability, and ...

Department of Chemical & Petroleum Engineering, The University of Kansas, 4132 Learned Hall 1530 W 15th St, Lawrence, Kansas 66045, United States Center for Environmentally Beneficial Catalysis, The ...