Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

Individual mammalian cells contain billions of protein molecules, which must be synthesized, deployed, and removed with ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...

Assistant Professor Yupeng Zhang and his team, along with researchers from the University of California, Irvine, received a ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Khrystyna Voloshyn, Data Scientist, Tamarack Technology Scott Nelson, Chief Technology and Chief Product Officer, Tamarack ...