AI’s Memorization Crisis

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

Ollama Models API

This API provides a simple interface to explore the complete collection of Ollama models. This project was mainly created due to the lack of filtering and sorting capabilities in Ollama's own search ...
IEEE

Arbitrary Modulation of Average Dwell Time in Discrete-Time Markov Chains Based on Tunneling Magnetoresistance Effect

Abstract: Stochastic processes (SPs) are widely used in many real-world fields, especially AI algorithms and models. A discrete-time Markov chain (DTMC) is a fundamental SP where the probability of ...
Thorax

Health economic model to evaluate the cost-effectiveness of smoking cessation services integrated within lung cancer screening in the United Kingdom

Introduction Integrating smoking cessation supports into lung cancer screening can improve abstinence rates. However, ...