A big change in the H-1B Cap FY 2027 season is that the lottery system will be replaced with the new wage-based selection ...

Sharing anecdotes is not misinformation, but it can produce miscalibration, making to harder to make sense of the facts, writes Catherine De Soto.

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

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, ...

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 ...

Researchers have developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI ...