Once a witness to the prosperity of ancient trade routes, it now also bears witness to the power of cultural inheritance and ...

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 ...

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 ...

For all the hype - and endless declarations that AI is the “future of advertising” - it has yet to deliver real ad dollars.

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

Policy pressure, affordability gaps, and consumer expectations are reshaping how pharma companies think about direct to ...

Nvidia’s $100 billion bet on OpenAI meets a UN push for binding AI red lines. The real choice isn’t pause or accelerate, it’s ...

Peer reviewers judge the validity and quality of new research. These judgements would ideally be impartial, but some reviewers may give a more favourable review if they are cited in the article ...

When traders talk about “the good old days” in currencies, they are usually reminiscing about quiet, range-bound markets with ...

Discover how Python is evolving in 2025 with new tools, frameworks, and trends shaping AI, data science, and API development.

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.