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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 ...

Some people notice an unexplained body odor before a cancer diagnosis. Here's what the science says about VOCs, cancer smell diagnosis The post Some People Claim to ‘Smell Cancer’ Before Diagnosis - ...

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 ...

ChatGPT's breakthrough is not what it seems.

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 ...

A seemingly simple math problem has gone viral this week, leaving people totally stumped on social media. The equation in questions is: 15 - 15 × 4 ÷ 2 = ? At first glance, it looks like a basic grade ...

Bio X Cell today announced the launch of the first commercially available ready-to-use anti-mouse PD-L1 × TIGIT × LAG3 trispecific antibody, introducing a new approach to studying combinatorial ...