Understanding the role of external factors in chemical reactions is central to theoretical and experimental chemistry ...

Turns out, you don’t need a trillion-parameter model to get things done. Smaller, focused AIs are stealing the spotlight for ...

DeNovix discusses how customer demand inspired the development of specialized CellDrop applications for hepatocytes and ...

In-context learning has the potential to revolutionize how machines acquire knowledge—enabling them to adapt, reason, and ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what they have learned to make ...

As artificial intelligence (AI) use continues to grow in nearly every industry, it is important to establish guardrails to ...

The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...

Engineers at the University of California San Diego have created a new method to make large language models (LLMs)—such as ...

IBM is entering a crowded and rapidly evolving market of small language models (SLMs), competing with offerings like Qwen3, ...

Not just an expert in automotive software, battery systems, and machine learning, but in high-temperature ultra-capacitors and space exploration from his time working on NASA's Venus explorer project.

In the hunt for new therapeutics for cancer and infectious diseases, lasso peptides prove to be a catch. Their knot-like ...