Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Creators to Keep 70-85% of Revenue as Industry Giants Face Backlash Over Declining Payouts and Algorithm Changes TEMECULA, CA / ACCESS Newswire / January 2, 2026 / Digitalage, a subsidiary of Hop-on, ...

Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly ...

A Suite of Solutions Leveraging Advanced AI with Company's Deep Domain Knowledge of Social Infrastructure Hitachi, Ltd. (TSE:6501, "Hitachi") today introduced HMAX by Hitachi at CES 2026. HMAX by ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

A new research paper was published in Volume 17, Issue 11 of Aging-US on November 26, 2025, titled "Epigenetic aging ...

Released every 12 to 18 months, 3D NAND scaling outpaces most other semiconductor devices in replacement rate and performance ...

This article outlines what lab sustainability entails, the benefits of becoming a more sustainable lab and provides 10 ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...