Unite.AI

Thinking Machines Lab Unveils Inkling, Its First Open-Weights Multimodal AI Model

Thinking Machines Lab has released Inkling, its first general-purpose artificial intelligence model, giving developers access ...

New machine-learning equation accurately assess LDL cholesterol risk

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

Unifying Direct and Indirect Learning for Safe Control of Linear Systems

Abstract: This paper develops learning-enabled safe controllers for linear systems subject to system uncertainties and bounded disturbances. Given the disturbance zonotope, the data based closed-loop ...
IEEE

A Big Data Framework for Scalable and Cross-Dataset Capable Machine Learning in Network Intrusion Detection Systems

Abstract: Network Intrusion Detection Systems (NIDS) are widely used to secure modern networks, but deploying accurate and scalable Machine Learning (ML)-based detection in high-speed environments ...
Journal of Medical Internet Research

Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

Significant predictors were selected on the training set using recursive feature elimination methods, followed by prediction model development using 7 machine learning algorithms (logistic regression, ...