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

A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...

Cadence Is Leading The Audio Revolution With AI Technology

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

Micron's New SSDs Are Gamechangers For AI

SSDs represent a robust growth vector for Micron Technology as memory demands in AI data centers show no signs of stopping.
IEEE

Conflict-Free Symmetric Sparse Matrix-Vector Multiplication on Multicore Architectures

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.
techxplore

Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...
IEEE

A Hardware/Software Co-Design of Matrix-Vector Multiplication with Arbitrary Dimensions for DSP Algorithms

Abstract: Matrix-vector multiplication is practically used in all Digital Signal Processing (DSP) algorithms. Particularly, in the channel emulation field, it is required to perform this algorithm in ...
GitHub

⚡ Developer-friendly hybrid-RAG toolkit merging Graphiti, Qdrant, mem0, LlamaIndex, and LangChain into one powerful engine.

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 ...