How modern mathematics helps policymakers and insurers connect the dots of the country’s fragmented demographic data ...

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

To investigate the emergence of a pro-wealthy bias in the US Supreme Court, we develop a protocol to identify and analyze all cases involving economic issues from 1953 to the present. We categorize ...

New evidence shows GnRH antagonist stimulation outperforms PPOS for oocyte yield in young high-risk IVF patients, supporting ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

Researchers explain how nitrate from farming and fish ponds moves through water and pollutes freshwater lakes.

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

They drew with crayons, possibly fed on maggots and maybe even kissed us: Forty millenniums later, our ancient human cousins ...