Artificial Intelligence is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...

The Department of Homeland Security is replacing its lottery system for H-1B visas with a new approach prioritizing skilled, ...

Despite being given just a 20.1% change to win by ESPN’s Matchup Predictor, the HBCU squad walked into Big12 territory and emerged with a 66-64 road victory over Cincinnati – a result that resonated ...

We study machine learning formulations of inductive program synthesis; given input-output examples, we try to synthesize source code that maps inputs to corresponding outputs. Our aims are to develop ...

Abstract: Software engineering is undergoing a major shift: while code generation has become increasingly automated, code review and audit remain stubbornly human-intensive. Code quality continues to ...

This is the community edition of GenJAX, a probabilistic programming language in development at MIT's Probabilistic Computing Project. We recommend this version for stability, community contributions, ...

Programming is both an enjoyable and a difficult task. A seemingly small slip can introduce a serious error or create a security vulnerability. The need for, and ...

Abstract: Probabilistic programming allows developers to focus on the modeling aspect in the Bayesian workflow by abstracting away the posterior inference machinery. In practice, however, programming ...

A recent study published in JAMA Pediatrics, “Tenant Right-to-Counsel and Adverse Birth Outcomes in New York, New York,” demonstrates how guaranteed legal representation for tenants facing eviction ...

Generative models of tabular data are key in Bayesian analysis, probabilistic machine learning, and fields like econometrics, healthcare, and systems biology. Researchers have developed methods to ...