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

This post examines the evolution of robotic laboratories and outlines the key breakthroughs required to advance toward genuinely embodied scientific intelligence. The earliest defining milestone of ...

Keeping up with the latest research is vital for scientists, but given that millions of scientific papers are published every ...

As a global centre of excellence in weather and climate science, the Met Office has always been driven by innovation.

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...

OpenAI researchers have introduced a novel method that acts as a "truth serum" for large language models (LLMs), compelling them to self-report their own misbehavior, hallucinations and policy ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Abstract: Soft robots present significant modelling challenges due to their non-linearity, complex dynamics and potentially intricate geometries. These difficulties in accurate system identification ...

As an emerging 3D cell culture system, organoid technology has demonstrated substantial potential in basic research and translational medicine by recapitulating in vivo organ structures and functions.

Background: Chronic Coronary Disease (CCD) is a leading global cause of morbidity and mortality. Existing Pre-test Probability (PTP) models mainly rely on in-hospital data and clinician judgment. This ...

ABSTRACT: Background: The present study showed a mathematical analysis of the spread of infectious diseases using the classical SEIR (Susceptible-Exposed-Infected-Recovered) model. The model is ...