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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 ...

Ants are America's number one nuisance pest, and the internet has no shortage of remedies promising a quick fix. Dried bay leaves, ground pepper, vinegar spray and lemon juice are popular ...

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 ...

The inability to deliver therapeutic RNA molecules to cell types beyond the liver is holding back the progress of RNA medicine, but Sixfold Bioscience has a solution. The company has engineered Mergo: ...

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 ...

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

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 ...

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 ...

BOARDMAN, Ohio (WKBN) — An 83-year-old Boardman resident is out just over $15,000 after falling victim to a fraud scheme. According to a police report, officers with the Boardman police were sent to ...