Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational model that could expedite the use of nanomaterials in biomedical applications.

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

In the vast expanse of our universe, one question has captivated humanity for generations: are we alone? This profound inquiry has driven scientific exploration for decades, but recent technological ...

As generative AI continues reshaping industries worldwide, enterprises are accelerating adoption across production, ...

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

This article explores how single-cell multiomics and spatial transcriptomics are illuminating early pregnancy, uncovering ...

Researchers are devising technologies that help analyze and enhance human movement and performance.

Open radio access network (RAN) technology remains a work in process due to complexity and integration challenges, but an increasing number of operators and vendors are getting behind AI as a way to ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

The AI models, developed under an initiative called Project Eagle, promise to deliver better forecasts using less ...

Insights into what happens to corporate learning when AI and performance pressure collide with an L&D function still built ...

Predicting the precise impact of AI on employment is fraught with uncertainty – and most of the time just plain wrong.