Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...

AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

Being a “10x engineer” isn’t about shipping more code — it’s about helping everyone around you ship better, faster and with fewer fires.

New silicon designs apply AI to processing and enhancing digital audio. Cadence has new IP to simplify the work.

Abstract: Exploiting the numeric symmetry in sparse matrices to reduce their memory footprint is very tempting for optimizing the memory-bound Sparse Matrix-Vector Multiplication (SpMV) kernel.

Abstract: Sparse matrix-vector multiplication (SpMV) is a fundamental operation in machine learning, scientific computing, and graph algorithms. In this paper, we investigate the space, time, and ...

This implementation creates a sophisticated knowledge retrieval system by integrating KAG methodologies with traditional RAG approaches. It seamlessly combines Graphiti's graph intelligence, Qdrant's ...

A comprehensive, beginner-friendly, project-driven curriculum on Generative AI and Retrieval-Augmented Generation (RAG) Agents. Learn core concepts like prompt engineering, vector embeddings, chain ...