Many people start their work with AI by prompting the machine to imagine it is an expert at the task they want it to perform, ...

Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their ...

This valuable work extends a previously published regression framework for trial-aligned photometry data incorporating functional variables. However, the evidence is generally incomplete, due to the ...

Innovation rarely emerges in isolation. More often, it is born in conversations among engineers, founders, researchers, and investors trying to understand where technology is heading.Over the course ...

It’s here that red teaming—the practice of simulating adversarial attacks against AI systems—becomes critical.

LazySlide, a new computational tool designed to connect whole-slide pathology images with RNA sequencing data through foundation models, addresses one of the persistent bottlenecks in cancer research: ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

If there’s a legal reckoning to come over the use of intellectual property in training AI, there are also several methods of ...

Elon Musk’s xAI has lost its bid for a preliminary injunction that would have temporarily blocked California from enforcing a law that requires AI firms to publicly share information about their ...

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

Both methods demonstrate high predictive accuracy (MAE ~ 6 years, R2 > 0.8) and the degree of agreement of assessments both with each other and with ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive ...