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 ...
Tech Xplore

Researchers develop 'SyMerge' technology maximizing AI model synergy

Sungkyunkwan University (SKKU) announced that an artificial intelligence research team from the College of Computing and ...
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 ...

Advancing Neurological Disease Prediction through Machine Learning Techniques

A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...
RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
NERDBOT

AI Model Selection: A Complete Guide to Choosing the Right AI Model for Your Business

Artificial Intelligence (AI) is transforming industries by automating processes, improving decision-making, and enhancing ...
Scientific Research Publishing

Smith, J. (2019) Heart Disease Dataset.

ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...
IEEE

Quantum Machine Learning with Cyber Security Algorithm and Data Security A Comparative Analysis of SVM and QSVM

Abstract: Quantum Machine Learning (QML) emerges as a particularly promising field at the combination of quantum computing and machine learning techniques, aiming to enhance performance, efficiency, ...
MIT Technology Review

A major AI training data set contains millions of examples of personal data

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...