Virtru and Ohalo Partner to Deliver AI-Driven Data Discovery, Classification, and Governance for Sensitive Unstructured Data

Virtru, the leader in data-centric security, and Ohalo, the enterprise file governance company, today announced the availability of their integrated solution that automatically discovers, classifies, ...
UC Berkeley School of Information

Data Science Master’s Project Informs LGBTQ+ Young Adults about Legislation Affecting Rights

Master of Information and Data Science (MIDS) alums Beth McBride, Ishani Cheshire, Indri Adisoemarta, Chase Martin, and Ambro ...

SWAU introduces new certificate in machine learning

Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of ...
Inquirer Business on MSN

The problem behind the problem

In strategy, activity is often mistaken for progress. Organizations move quickly to solutions because “doing something” feels ...
Frontiers

Benchmarking, Evaluation, and Reproducibility in Earth Observation Machine Learning

Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...
Health Affairs

Black Patients Underdiagnosed With Long COVID In The US Compared With White Patients

Long COVID has debilitating effects but is inconsistently diagnosed because of subjective criteria, limited treatments, and variations in health care access. We analyzed electronic health records from ...
Newspoint on MSN

Want to build a career in data science? First, learn these 7 essential skills.

Career in Data Science: Data Science has emerged as one of the fastest-growing career options in the corporate and IT sectors ...
Technology Networks

Deep Learning for Variant Calling: How DeepVariant and Neural Networks Are Improving Genomic Accuracy

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...
technologynetworks

Multiomics Data Integration With Machine Learning: Methods, Tools, and Biological Applications

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
IEEE

Classification of Epileptic Seizures by Simple Machine Learning Techniques: Application to Animals’ Electroencephalography Signals

Abstract: Detection and prediction of the onset of seizures are among the most challenging problems in epilepsy diagnostics and treatment. Small electronic devices capable of doing that will improve ...
IEEE

Classification of Potentially Hazardous Asteroids Using Supervised Quantum Machine Learning

Abstract: Quantum computing (QC) and quantum machine learning (QML) are emerging technologies with the potential to revolutionize the way we approach complex problems in mathematics, physics, and ...