Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...

Kriti Goyal used her master's degree and strategic networking to move to the US and succeed in AI at a major Big Tech company ...

Journalists have uncovered a handful of preprint academic studies with hidden prompts instructing A.I. reviewers to give ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

The fact that LLMs are used to summarize or review academic papers is itself a problem, as noted by Timothée Poisot, ...

The changes are part Microsoft's efforts to improve the resiliency of the Windows operating system after last year’s ...

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike seeing an image of a star in a telescope, saying anything at all about the ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

The white paper explores key issues facing health systems around the adoption of AI, including choosing whether to build AI in-house or buy a solution, how to choose a vendor and how to govern AI.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.