By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...

You will get a quick, honest look at how Prince William listens to George, Charlotte and Louis so they can talk about their feelings without fear. He makes a point of getting “all the details” and ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

In biomedical modeling, the integration of mechanistic and data-driven approaches is reshaping how we interpret and predict complex biological phenomena.

Abstract: Topic modeling is widely used to extract meaningful themes from large text corpora. Typically, it is assumed that all documents contribute equally to topic extraction, ignoring the fact that ...

The barrage of misinformation in the field of health care is persistent and growing. The advent of artificial intelligence (AI) and large language models (LLMs) in health care has expedited the ...

India’s civil aviation directorate has disclosed that a Learjet 45 which crashed on approach to the uncontrolled Baramati airfield had already conducted a go-around owing to a lack of visual runway ...

Social engagement in environmental issues has significantly increased with the rise of social media, which plays a critical role in shaping public perception of climate change. This study examines the ...

Disturbances to the gut microbiome contribute to health conditions like inflammatory bowel disease (IBD). To better understand how those microbes interact with each other and their environment, ...

IndustryWeek editors look into those stories, plus a modern manufacturing misconception, a CEO on the move, and Deloitte's five key trends for 2026. There is a significant need to reshape perceptions ...

Abstract: Topic modeling has emerged as a vital tool for extracting interpretable topics from large volumes of textual data. Although topic modeling techniques have evolved from the word ...