Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...