Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...
eLife

REM sleep prefrontal high-frequency oscillation chains mediate distinct cortical – hippocampal reactivation patterns compared to NREM sleep

REM (rapid eye movement) and non-REM (NREM) sleep stages contribute to systems memory consolidation in hippocampal-cortical circuits. However, the physiological mechanisms underlying REM memory ...
IEEE

Optimizing Structured-Sparse Matrix Multiplication in RISC-V Vector Processors

Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...
Hosted on MSN

Vera Clinic and Appsilon unveil Vector 10: The world's first CVD lab-grown diamond-tipped blade engineered for hair transplant surgery

Independent validation confirms the CVD diamond blade outperforms sapphire by up to 15x in sharpness longevity — marking a breakthrough moment for the global hair restoration industry ISTANBUL, TURKEY ...
IEEE

FPGA-Based FCS-MPC with Space Vector Preselection and Online Parameter Identification for Matrix Converter

Abstract: Conventional finite-control-set model predictive control (FCS-MPC) for matrix converters faces challenges of extensive calculations and parameter uncertainties. This paper presents an ...
Malaysian Reserve

Lab-Grown Neurons Say “Hello, World!” and Perform Matrix Math on Automated Platform; Intactis Bio Corp Raises $250K from Nucleus Fund

SALT LAKE CITY, March 26, 2026 /PRNewswire/ — Intactis Bio Corp, a leader in biohybrid computing, announced a major milestone: in a controlled laboratory setting, living brain cells (neurons) ...
GitHub

SNMF (Spatial Non-Negative Matrix Factorization)

SNMF (Spatial Non-negative Matrix Factorization) is a rapid, accurate, and reference-free deconvolution method for sequencing-based spatial transcriptomics data. It extends classical NMF with explicit ...