Understanding Credibility Theory in Actuarial Science

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...
MIT Technology Review

Meet the new biologists treating LLMs like aliens

By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...

AI’s Memorization Crisis

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
BMJ Open

Chinese caregivers’ preferences and predicted uptake of HPV vaccination: a study protocol for two discrete choice experiments

Introduction Human papillomavirus (HPV) vaccines have been introduced in the Chinese market since 2016. However, the HPV ...
GitHub

Simple Neural Network Models

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
IEEE

Sparse Bayesian Learning for Switching Network Identification

Abstract: Learning dynamical networks based on time series of nodal states is of significant interest in systems science, computer science, and control engineering. Despite recent progress in network ...
IEEE

A Bayesian Framework Based on Gaussian Mixture Model and Hidden Markov Process for Collision Detection in Cobots

Abstract: In this letter, we propose the B-GHF framework, an end-to-end collision state inference method based on a Bayesian framework that does not rely on external force/torque (F/T) sensors in the ...