The study’s results show that enhanced generalization with suppression, the strongest de-identification strategy, ...

To safeguard enterprise data in hybrid cloud environments, organizations need to apply basic data security techniques such as ...

Lack of incentives and low adoption of metadata standards are limiting AI's potential for bioimage analysis—a community ...

A tree can sequester quite a bit of carbon, and forests can sequester and store quite a bit more, but knowing exactly how ...

And yet, despite this fundamental limitation, attribution remains central to how most marketing decisions are made today. In ...

Thinking Machines has released Tinker, an API for fine-tuning open-weight language models. The service is designed to reduce ...

AI's impact on the legal profession, ethical concerns, and future implications discussed by experts in a live webinar.

Integrative modeling transforms how scientists understand molecular machines, with Rutgers researchers leading the global effort The Research Collaboratory for Structural Bioinformatics Protein Data ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

The field of orthopedic surgery has seen a significant influx of data from various sources such as clinical records, ...

“In the best-case scenario, when you adopt these new techniques, even on the same old data, it’s kind of like putting on glasses for the first time, and you can see the leaves on the trees,” said Kyle ...

A team at Massachusetts General Hospital uncovered that an immune defense protein, Resistin-like molecule gamma, attacks ...