Gabriel Gomes built an agent that turns plain English into physical experiments, enabling research that humans alone could never sustain ...

Artificial intelligence could soon help patients make sense of complex medical scan results, making them far easier to understand without losing clinical accuracy, a major new study by the University ...

A new review shows how AI helps food companies predict formulation, processing, and sensory outcomes. AI does not ...

When making decisions and judgments, humans can fall into common "traps," known as cognitive biases. A cognitive bias is ...

India is entering a decisive phase in its artificial intelligence journey. Over the last two years,  conversations around AI have largely revolved around model sizes, GPU access, and sovereign ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

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 ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset available to the institution. Moving AI decisioning closer to this data ...

A new survey from the American Association of Colleges and Universities and Elon University’s Imagining the Digital Future Center found that an overwhelming majority of college faculty are concerned ...