News-Medical.Net

Researchers develop versatile machine learning tool to automate complex clinical diagnostics

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Automated CT scan analysis could fast-track clinical assessments

A research team has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D ...

Did Alibaba just kneecap its powerful Qwen AI team? Key figures depart in wake of latest open source release

The takeaway? If you value Qwen's open source efforts, download and preserve the models now, while you still can.
Financial IT

ThetaRay and Matrix USA Solve AML’s Last-Mile Problem With a Turnkey AI Overlay to Modernize Legacy Rules Engines

ThetaRay, a global leader in Cognitive AI financial crime compliance, and Matrix USA, a premier global service integrator of anti-money laundering (AML), financial crime and compliance systems, today ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Robust Deep Matrix Factorization With Low-Rank and Hypergraph Learning for Multi-View Data Processing

Abstract: As the advancement of sensing technology and cyber-physical equipment, the complexity and dimensionality of the data from Consumer Internet of Things have increased dramatically. Processing ...
GitHub

Transfer-learning-model-of-Mechanical-Properties-for-Particle-Reinforced-Aluminum-Matrix-Composites

1.Core code for the PAMCs-MP model (Pre-traIn,Fine-tuning). 2.Machine learning and grid-search code, including implementations for SVR, Random Forest (RF), Gradient Boosting (GB), and BPNN. 3.Code for ...
Frontiers

Interleaving cortex-analog mixing improves deep non-negative matrix factorization networks

1 Institute for Theoretical Physics, University of Bremen, Bremen, Germany 2 Institute of Electrodynamics and Microelectronics (ITEM.ids), University of Bremen, Bremen, Germany Considering biological ...
IEEE

Non-Negative Matrix Factorization and Latent Semantic Analysis for Hybrid Feature Selection: A Proposed Machine Learning System for the Detection of Malicious Executable Files

Abstract: During a typical cyber-attack lifecycle, several key phases are involved, including footprinting and reconnaissance, scanning, exploitation, and covering tracks. The successful delivery of a ...