Three funds filed to let software run the portfolio. The sales pages promise a lot. The risk pages quietly take most of it back.

Baseten Inc., a startup with a platform for running artificial intelligence inference workloads, is raising $1.5 billion in ...

New FDA guidance on the use of Bayesian statistics signals a broader shift in accommodating more flexible clinical trial ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Abstract: In the satellite lifetime optimization, reliability is a critical issue. For the complex satellite system, Bayesian network (BN) is an important method for reliability modeling and inference ...

Abstract: The fifth generation and future wireless networks are expected to support massive machine-to-machine (M2M) communications. Due to the sporadic nature, massive M2M communications can be well ...

Dormancy is a widespread bet-hedging strategy across taxa, enabling organisms to survive natural and anthropogenic disturbances. It fundamentally alters eco-evolutionary processes, including ...

Bloomberg is pleased to announce the newest cohort of three early-career researchers who have received the Bloomberg Data Science Ph.D. Fellowship for 2024-2025. Now in its seventh cohort, the ...

PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference, previously implemented in MATLAB. VBMC is an approximate inference method ...

Machine learning (ML) algorithms are at the core of many modern technologies, from recommendation systems to self-driving cars. One of the key factors that determine the efficiency and scalability of ...