This week, researchers reported evidence of a cosmic impact at classic Clovis archaeological sites. Biologists in Texas ...

Large language models may be nearing their limits, challenging assumptions about the transformative potential of artificial ...

Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...

Background Cardiac MR (CMR) provides a comprehensive assessment of pericardial structure, tissue characteristics and constriction-related haemodynamics, making it an excellent tool for assessing the ...

Objective Youth with childhood-onset SLE (cSLE) have increased risk of serious infection. It is unknown how much of this risk ...

Only a small percentage of people operate at this level of depth. And while it can feel isolating at times, it’s also what ...

Zinia Khattar of San Diego, the second Fellow, was awarded a $50,000 science scholarship. “Being named a Davidson Fellow is a ...

The bank said trials with IBM's Quantum Heron hardware showed a 34% improvement in predicting the likelihood of bond trades ...

From time management tools to health and wellness trackers, iPhone apps are reshaping how people stay organised and ...

Post-training of large language models has long been clearly divided into two paradigms: supervised fine-tuning (SFT) centered on imitation and reinforcement learning (RL) driven by exploration.

The Rule of 72 is a simple calculation tool for investors to use, but it's not necessarily the most accurate. Here are some ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...