Artificial intelligence has become a core component across trading desks, data platforms, and execution systems in the crypto ...

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Data quality problems are systemic in agriculture, the researchers note. Historical reliance on local practices, fragmented ...

MicroRNAs, whose discovery was recognized with the 2025 Nobel Prize in Physiology or Medicine, are central regulators of gene ...

A recent review concluded that artificial intelligence (AI) has significant value in supporting clinical decision-making across the arthroplasty care pathway. The primary benefit is ...

Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...

Aseptic processing demands reliable, robust, and validated analytical methods to ensure sterility, safety, and quality, ...

In Darwinian terms, survival isn’t a matter of being the biggest, the fastest, or the strongest of the species, but instead ...

On the U.S. border, one student has created TinyRL, a localized, miniature AI that's leading the way in autonomous device ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...