The Brighterside of News on MSN

Multi-wavelength photonics breakthrough performs AI math at light speed

Artificial intelligence grows more demanding every year. Modern models learn and operate by pushing huge volumes of data ...
How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can use R-style formulas. First, you need to import statsmodels and its ...
IEEE

Decentralized Sparse Matrix Multiplication Under Byzantine Attacks

Abstract: Distributed computations, such as distributed matrix multiplication, can be vulnerable to significant security issues, notably Byzantine attacks. These attacks may target either worker nodes ...
IEEE

Hardware Accelerator for Deep Neural Networks on Edge Devices Based on RISC-V Open Standard Instruction Set Architecture

Abstract: Recent advances in transformer neural network architecture are constrained by their substantial computational demands, which pose significant challenges in edge computing environments. In ...
blockchain

Enhancing Deep Learning with nvmath-python's Matrix Multiplication and Epilog Fusion

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.
GitHub

matrix_multiplication_recursion.py

:param matrix_a: A square Matrix. :param matrix_b: Another square Matrix with the same dimensions as matrix_a. :return: Result of matrix_a * matrix_b. :raises ValueError: If the matrices cannot be ...