(CNW) World First: Henon Launches Zero-Error RAG System for Financial Workflows

Most advanced RAG systems operate within the 75% to 92% accuracy range, which may be acceptable for consumer applications but remains unacceptable for institutional finance. Henon's zero-error RAG has ...

World First: Henon Launches Zero-Error RAG System for Financial Workflows

Most advanced RAG systems operate within the 75% to 92% accuracy range, which may be acceptable for consumer applications but remains unacceptable for institutional finance. Henon's zero-error RAG has ...
IEEE

Approximation-Aware Training for Efficient Neural Network Inference on MRAM Based CiM Architecture

Abstract: Convolutional neural networks (CNNs), despite their broad applications, are constrained by high computational and memory requirements. Existing compression techniques often neglect ...

True agentic AI is years away - here's why and how we get there

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
IEEE

Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions

Abstract: Low-tubal-rank tensor approximation has been proposed to analyze large-scale and multidimensional data. However, finding such an accurate approximation is challenging in the streaming ...