The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

A new computer model developed at the University of Liverpool can combine sight and sound in a way that closely resembles how ...

Bayes Market, the prediction platform launched in June 2025, today announced a major upgrade designed to usher in a new era ...

That work led to the Multisensory Correlation Detector (MCD), which could imitate human responses to simple audiovisual ...

An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.

Researchers have modeled a hybrid financing scheme combining contracted and merchant components to improve the bankability of PV-battery energy storage system (PV-BESS) assets, using a Bayesian LSTM ...

The study finds that these uncertainty shocks often lead the economic cycle, signaling turning points months before ...

Interventions targeting drinking water safety and responsible dog management could reduce echinococcosis incidence in China.

While for many people AI translates to chatbots, thanks to the accessibility and popularity of generative AI tools like ...

A recent study published in National Science Review has estimated the global biological nitrogen fixation from natural ...

This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.