A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a ...

Explore robotics in sports, the games most suited for robots, and how younger fans are driving curiosity around new ...

Retirement: This happens when an AI system becomes outdated. Its models and servers are decommissioned, scrapped or replaced. This involves dumping tonnes of chips, circuits and hardware that will ...

George Orwell might’ve predicted the surveillance state, but it’s still surprising how many entities took 1984 as a how-to manual instead of a cautionary tale. [Benn Jordan] decided to ...

Discover why the use of VPNs skyrocketed in 2025 as people faced social media bans, age checks, and internet shutdowns ...

Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...

(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...

Using heart rate variability as a potential biomarker for diagnostic support and early screening of schizophrenia and bipolar disorder could eventually lead to faster, less costly assessments outside ...

The field of RNA bioinformatics is undergoing a transformative era marked by substantial advancements in sequencing technologies and data acquisition ...

Biochar, a carbon-rich material made from organic waste, is gaining attention for its ability to improve soils, clean water, and capture carbon. A new review in Biochar X highlights how machine ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...