Frontiers

Fairer non-negative matrix factorization

There has been a recent critical need to study fairness and bias in machine learning (ML) algorithms. Since there is clearly no one-size-fits-all solution to fairness, ML methods should be developed ...
IEEE

Sparse Matrix Factorization for Scalable Machine Learning in Cloud Environments

Abstract: Demand for intelligent and versatile resource management techniques has increased with the proliferation of cloud computing and acceleration of industry adoption of microservice-style ...
Network World

What are TPUs? Your guide to tensor processing units and AI acceleration

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...
Frontiers

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

Considering biological constraints in artificial neural networks has led to dramatic improvements in performance. Nevertheless, to date, the positivity of long-range signals in the cortex has not been ...
AlphaGalileo

Nanopore signals, machine learning unlock new molecular analysis tool: Voltage-matrix nanopore profiling reveals molecular individuality in protein mixtures

Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools struggle to distinguish subtle variations in the structure or composition among ...
The New York Times

‘The Smashing Machine’ Review: Licking Wounds, In and Out of the Ring

Dwayne Johnson shines, but the movie around him tells the wrong story. By Alissa Wilkinson When you purchase a ticket for an independently reviewed film through our site, we earn an affiliate ...
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 ...