The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

India, under the IndiaAI Mission, is attempting something unprecedented: Replicating the success of UPI’s public digital infrastructure in the physical world of AI compute. Just as India transformed ...

BrainIAC analyzes brain scans across diseases, learns from minimal data, offers hope for rare condition diagnosis.

Search has become conversational. Recommendations are algorithmically curated. Comparisons are resolved upstream. The ...

As investment in AI continues to grow, the gap between expectation and outcome may widen for organizations that neglect these fundamentals. Conversely, those that treat data harmonization, analytics ...

Trackonomy reports that global supply chains face increasing challenges from climate disruptions and cyberattacks, making ...

And our testing reveals that, much like last year's QN90D, the QN90F really struggles with blooming. A combination of Samsung ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

Tech giants race to eliminate AI slop from the internet. Model collapse threatens billions in investments, driving platforms to reward authentic human expertise.

SHANGHAI, SHANGHAI, CHINA, January 20, 2026 /EINPresswire.com/ -- The global healthcare sector is witnessing a paradigm ...