The Multi-source Probabilistic Inference (MUPI) research group studies statistical machine learning and artificial intelligence. We develop new methods and algorithms for coping with uncertainty in ...

Neither Sakana AI nor its external AI service providers will use customer data or inputs for model training or fine-tuning unless the client provides explicit opt-in consent.

NPMA's new series, "Don't Try This at Home," reveals why most DIY fixes don't stand a chance against a colony and shares what works. FAIRFAX, Va., June 23, 2026 /PRNewswire/ -- An ...

Abstract: Time-frequency (TF) analysis is a useful tool for seismic data processing and interpretation. We introduce sparse Bayesian learning (SBL) to TF analysis and propose a new SBL-based ...

Abstract: Ensuring the positive definiteness and avoiding ill conditioning of the Hessian update in the stochastic Broyden–Fletcher–Goldfarb–Shanno (BFGS) method are significant in solving nonconvex ...

How can you have a proof without proving anything? Mathematicians found a way and, in the process, came to blows over it – ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Anupam Ojha, a postdoctoral fellow at the Flatiron Institute, develops advanced statistical frameworks to bridge the gap ...

The Charlotte-Mecklenburg Police Department says the road is closed at Freedom Drive due to a deadly crash that happened Friday afternoon. The crash was reported just before 2 p.m. on Freedom Drive ...

A hidden fawn turned into a viral joke after its natural camouflage proved so effective that a nearby dog seemed not to notice it was almost underfoot. The owner's astonished play-by-play added a ...

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