A broad European industry/academic consortium, Inno4Vac, has developed a robust, open-source modeling platform that unifies upstream and downstream models and predicts product stability, all within a ...

The advent of the evolutionary scale modeling (ESM) series of protein language models (PLMs) is a significant innovation in the convergence of large language models (LLMs) with protein representation.

Screenshot of Apple’s Xcode development environment running on a MacBook. Image: Apple Liquid Glass design, Apple Intelligence APIs, and visionOS 26 tools highlight Apple’s 2025 State of the Union for ...

San Jose Unified School District’s proposed school closures echo elements of a 2022 Oakland Unified plan that state officials later said would have disproportionately affected Black and low-income ...

For much of the 1990s, Antoine Verglas was one of fashion’s most sought-after photographers, celebrated for his raw, natural-light portraits of supermodels including Cindy Crawford, Claudia Schiffer, ...

Student cognitive modeling is a fundamental task in the intelligence education field. It serves as the basis for various downstream applications, such as personalized educational content ...

The R language for statistical computing has creeped back into the top 10 in Tiobe’s monthly index of programming language popularity. “Programming language R is known for fitting statisticians and ...

Inside Look is a Fresno Bee series where we take readers behind the scenes at restaurants, new businesses, local landmarks and news stories. In 2018, parents from southeast Fresno’s vibrant Hmong ...

Two major sources of training data exist for post-training modern language models: on-policy (model-generated rollouts) data and off-policy (human or other-model demonstrations) data. In this paper, ...