Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Spectral imaging is a vital tool for analyzing materials, monitoring crops, and tracking pollutants. But conventional systems face a major challenge as they ...

Although chatbots such as ChatGPT, which are powered by large language models (LLMs), have some sense of time, it is conceptualized in a completely different way. As we increasingly interact with them ...

Last year, the Wall Street Journal won a Pulitzer for an investigation that used artificial intelligence. To map out the ...

AI 2.0 is different and challenges that belief as larger models are proving far less valuable in practice. Rather than ...

Generative AI is often villainised as something that will dumb people down. But new tools from AI companies are doing just ...

A relatively simple experiment involving asking a generative AI to compare two objects of very different sizes allows us to ...

Abstract: Spaceborne GNSS reflectometry (GNSS-R) missions have been successfully launched in recent years, such as Technology Demonstration Satellite (TDS-1) in 2014, Cyclone Global Navigation ...

Abstract: The integration of virtual synchronous machine (VSM) constitutes both a promising approach and a new challenge for maintaining power system stability, especially given the increasing ...

Fruchterman spoke to indianexpress.com on the tech for good landscape, the challenges nonprofits face in adopting new ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

The four faculty that assembled to explore artificial general intelligence represent multiple disciplines across UC San Diego, a public research university that prioritizes cross-collaboration.