Entity resolution (ER) aims to identify and match records referring to the same entity from multiple data sources, which is a ...

What happens when the very thing designed to make AI smarter—more context—starts to work against it? Large Language Models (LLMs), celebrated for their ability to process vast amounts of text, face a ...

A new technical paper “Mitigating hallucinations and omissions in LLMs for invertible problems: An application to hardware logic design automation” was published by researchers at IBM Research. “We ...

A new test-time scaling technique from Meta AI and UC San Diego provides a set of dials that can help enterprises maintain the accuracy of large language model (LLM) reasoning while significantly ...

New research outlines how convenience-first AI decisions are creating long-term security, compliance, and operational risk.

The evidence shows that, under controlled conditions, LLM judges can align closely with clinician judgments on concrete, ...

What if evaluating the performance of large language models (LLMs) could be as precise and seamless as setting a GPS to your destination? With the rapid rise of LLM applications in everything from ...

Please provide your email address to receive an email when new articles are posted on . Human clinical judgment plus LLMs led to optimal diagnostic accuracy. The synergy highlights how LLMs can used ...

Demand for AI solutions is rising—and with it, the need for edge AI is growing as well, emerging as a key focus in applied machine learning. The launch of LLM on NVIDIA Jetson has become a true ...

Entity resolution (ER) aims to identify and match records referring to the same entity from multiple data sources, which is a crucial task in data ...