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.

Abstract: Automatic Incident Detection (AID) is an important part of Intelligent Transportation Systems (ITS). A hybrid AID method using Random Forest-Recursive Feature Elimination (RF-RFE) algorithm ...

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 ...

What’s the secret to prompting an AI to solve math problems that have left humans stumped? Tell it to believe in itself ...

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

This requires an algorithm: students are taught to stack one number atop another and multiply each digit of the bottom number ...

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 ...

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 ...

AUSTIN (KXAN) — A homicide investigation is underway in southeast Austin after officers found two deceased individuals, according to law enforcement sources. According to Austin Police, officers ...

Bayesian optimization (BO) provides a principled method for hyperparameter tuning in machine learning and deep learning. By modelling the nonlinear relationship between parameters and performance ...