Thinking Machines amps up its bet against one-size-fits-all AI with its first open model, Inkling

It's the company's first public proof point after a year and a half spent building AI infrastructure largely out of public ...
Johns Hopkins Medicine

Machine Learning Method Enables Easier and Wider Use of Martin-Hopkins Equation to Accurately Assess LDL Cholesterol Risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
GitHub

Probabilistic Numerics — Computation is Machine Learning

Machine learning is the process of estimating latent representations or variables from finite data. If the data is insufficient, this inference process leaves a ...
IEEE

FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning

Abstract: Machine Unlearning, a pivotal field addressing data privacy in machine learning, necessitates efficient methods for the removal of private or irrelevant data. In this context, significant ...