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 ...

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Quantum reservoir computing peaks at the edge of many-body chaos, study suggests

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...
Tech Xplore

Jailbreaking the matrix: How researchers are bypassing AI guardrails to make them safer

A paper written by University of Florida Computer & Information Science & Engineering, or CISE, Professor Sumit Kumar Jha, Ph.D., contains so many science fiction terms, you'd be forgiven for thinking ...
IEEE

Efficient 3D Inversion for Transient Electromagnetic Method Based on Rational Krylov Subspace

Abstract: Conventional three-dimensional (3D) inversion algorithms for the transient electromagnetic method (TEM) require time-domain discretization in both forward and adjoint modeling. These ...
IEEE

Architecture of an R Matrix Inversion Algorithm in HDL for Symbol Detection over V2V Doubly Selective Channels

Abstract: Currently, Vehicle-to-Vehicle (V2V) applications face significant degradation due to Doubly Selective Channel (DSC) effects, which arise from multi-path propagation and Doppler shifts. Inter ...