Foundation models are large, broadly trained models that can be adapted to many downstream tasks through prompting, retrieval, fine-tuning, or additional components. This guide explains the mechanism, ...

Model routing selects among models, tools, or configurations for each request according to capability, risk, latency, ...

Demand for data professionals is rising across Mumbai’s finance, healthcare, retail, consulting, technology, e-commerce, and ...

Matteo Paz developed a machine-learning workflow in 2025 that analyzed nearly 200 billion entries from NASA's WISE and ...

The analysis of spot-like structures is a widespread task in microscopy image analysis. Existing solutions are typically ...

The extracellular milieu, including extracellular vesicles (EVs), plays a pivotal role in brain development. In this study, we sought to elucidate the pathogenesis of progressive myoclonus epilepsy ...

Krishnan Suresh and Sanjay Suresh of University of Wisconsin-Madison have released PyEncode, a new open-source Python library ...

Controlled and non-controlled information are simultaneously encoded within an integrated representation in partially overlapping neural subspaces, and the strengths of both representations jointly ...

Top artificial-intelligence models failed to predict the biological consequences of rewriting a virus's entire DNA code.

Anthropic reliability engineer Alex Palcuie shares practical lessons on using LLMs for real-world incident response. He ...