Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
ISACA

Combating Bias in Learning Models

Machine learning (ML) models now influence decisions that were once reserved solely for human judgement: credit approvals, hiring outcomes, insurance pricing, and loan default predictions. When these ...
IEEE

Optimizing Binary Decision Diagrams for Interpretable Machine Learning Classification

Abstract: Machine learning (ML) is ever more frequently used as a tool to aid decision making. The need to understand the decisions made by ML algorithms has sparked a renewed interest in explainable ...
IEEE

Machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images

Abstract: Thickness of the melanoma is the most important factor associated with survival in patients with melanoma. It is most commonly reported as a measurement of depth given in millimeters (mm) ...
Visual Studio Magazine

Binary Classification Using LightGBM

Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...
Psychology Today

AI Predicts Alzheimer's Disease Risk Seven Years in Advance

Researchers at the University of California, San Francisco (UCSF) recently developed an AI algorithm that can identify patients at risk for developing Alzheimer’s disease up to seven years in advance, ...
Scientific Research Publishing

Multi-Label Chest X-Ray Classification via Deep Learning ()

In this era of pandemic, the future of healthcare industry has never been more exciting. Artificial intelligence and machine learning (AI & ML) present opportunities to develop solutions that cater ...