Federal statistics occupy a critical, but often unseen, place in public life. Produced and maintained with taxpayer dollars, ...

Causal inference in observational settings seeks to estimate the effect of exposures, treatments or interventions on outcomes in the absence of random assignment. Unlike experimental designs, ...

GPT-5.6 Sol Pro disproved a 20-year-old statistics conjecture in 90 minutes that GPT-5.5 couldn't crack in over 20 hours — a ...

"I've had an enticing experience at UB while pursuing my masters in data science. The entire course structure is well organized to be completed in one year. The professors and TAs are supportive and ...

Study reveals how sensitive health information about individual patients could be extracted from diagnostic medical AI models ...

From precision medicine to personalized job training, customizing interventions for individuals is often assumed to produce ...

The Natural Traces Consortium is transforming forensic science by expanding the range of evidence sources to include ...

The premise of Medicaid as a policy laboratory rests on generating knowledge through rigorous evaluation. Yet, too often, evaluation has functioned only as a compliance exercise. Instead, it should be ...

University of South Florida postdoctoral researcher Kun Bu develops advanced AI and statistical frameworks to extract clear, ...

Companies should have a strong understanding of cost, reliability and latency before pushing billions of tokens.

Using its patented tokenization technology and institutional-grade Information Data Exchange® (IDE) platform, Datavault AI will create and enable trading of Available Infrastructure Project Qestrel ...

A strange class of comet could explain the enigmatic behavior of ‘Oumuamua, the first known interstellar object—and even shed ...