Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Autonomous applications demand instant decisions, which require significant edge processing to achieve optimal latency ...

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 ...

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

SLMs targeted at specific workloads could change the relationship between edge devices and the cloud, creating new ...

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

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

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

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