A presentation by scientists on a work group for the Centers for Disease Control and Prevention’s vaccine advisory panel ...

A practical guide to developing a law firm pro bono programme. Through a mixture of commentary, advice, precedents and background information, the manual provides practical help and advice for law ...

How ANOVA helps ensure process data lead to accurate, defensible decisions. The two-sample t-test determines if two population means are equal. Typical applications involve testing whether a new ...

An examination of ethical and legal issues relating to the development and use of generative AI (GenAI), focusing on privacy and data security, intellectual property (IP), and commercial transactions.

Engineers at the University of California San Diego have created a new method to make large language models (LLMs)—such as the ones that power chatbots and protein sequencing tools—learn new tasks ...

In “Goliath’s Curse,” Luke Kemp crunches the numbers to see exactly how far we are from the fate of once-great empires. A detail from Samuel Colman’s “The Edge of Doom” (1836-38).Credit...Samuel ...

The Denver-based federal appeals court ruled on Tuesday that Colorado’s universal pre-kindergarten program does not violate the rights of religious preschool operators by requiring participating ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...

Abstract: The emergence of generative AI (GenAI) is a major driving force behind the modern data science ecosystem, a field that exploits data as the central asset for actionable insights. Analogously ...

As the industry embraces Nielsen’s big data + panel, the NFL is on board with the new measurement tool. Still, chief data and analytics officer Paul Ballew says there’s “more work” to be done in terms ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.