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 ...
Communications of the ACM

The ‘Matrix’ for Machines

Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...

Scientists found AI’s fatal flaw—the most advanced models are failing basic logic tests

Identifying vulnerabilities is good for public safety, industry, and the scientists making these models.
XDA Developers on MSN

I served a 200 billion parameter LLM from a Lenovo workstation the size of a Mac Mini

This mini PC is small and ridiculously powerful.

A Radical New Computer Could Replace Electricity With Light—and Make Processing Unstoppable

A team of researchers developed a model that could enable a single light source to perform multiple operations simultaneously.
Education Week

These Students are Learning the Math That Makes AI Tick

When most educators teach about artificial intelligence, the goal is to help students use an existing technology, like ChatGPT or a bot integrated into an online program. But Clayton Dagler wants his ...
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 ...
C&EN

CAML: Commutative Algebra Machine Learning─A Case Study on Protein–Ligand Binding Affinity Prediction

Department of Mathematics and Statistics, University of North Carolina at Charlotte, Charlotte, North Carolina 28223, United States Department of Mathematics, Michigan State University, East Lansing, ...
marktechpost

RXTX: A Machine Learning-Guided Algorithm for Efficient Structured Matrix Multiplication

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...