As AI demand outpaces the availability of high-quality training data, synthetic data offers a path forward. We unpack how synthetic datasets help teams overcome data scarcity to build production-ready ...

POMPANO BEACH, Fla. - BioStem Technologies, Inc. (OTC:BSEM), a microcap company with a market capitalization of $90.22 million, highlighted recent statements from FDA leadership indicating greater ...

Rational artificial intelligence sounds simple on paper: build systems that make sensible decisions based on goals, evidence, and logic. Yet ...

The FDA has released new draft guidance outlining the use of Bayesian methodologies in clinical trials for drugs and biologics. The guidance is intended to help sponsors apply modern statistical ...

On Tuesday afternoon, Bob Starkey was in the LSU women’s basketball team’s locker room when he decided to take out his phone and snap a photo he’d later post to Instagram. Starkey wanted people to see ...

Struggling with a problem that seems to require trigonometry? This lesson shows how to solve it without using trigonometry, using two easy methods anyone can apply. With clear logic and step-by-step ...

According to God of Prompt on Twitter, MIT researchers have demonstrated that prompt engineering is fundamentally a social skill rather than a technical one, disrupting conventional approaches to ...

Abstract: Effective state assessment of equipment can provide guarantees for the safe and stable operation of the power grid. To solve the problem of inaccurate evaluation results of transmission ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Bayesian statistics remain popular for addressing inverse problems, whereby quantities of interest are determined from their noisy and indirect observations. Bayes’ theorem forms the foundation of ...