Abstract: In this paper, we propose an over-the-air (OTA)-based approach for distributed matrix-vector multiplications in the context of distributed machine learning (DML). Thanks to OTA computation, ...

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 ...

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.

Since homomorphic encryption enables SIMD operations by packing multiple values into a vector of operations and enabling pairwise addition or multiplication operations, one (old) conventional method ...

One scene reflects the themes — A.I., fake news, transgender lives and Gen X — that make the film a classic. By Alissa Wilkinson Neo, the hero of “The Matrix,” is sure he lives in 1999. He has a green ...

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...

The Glitch in the Matrix phenomenon is an uncanny experience that seemingly can’t be explained rationally. As its name suggests, it’s inspired by a scene in 1999 sci-fi blockbuster The Matrix. Here, ...

Even so, The Matrix Awakens contains at least one conventional gameplay experience. Playing as hero character IO, you take part in a freeway chase reminiscent of the one in 2003’s The Matrix Reloaded.

Get ready for more "Matrix." Warner Bros. has announced that a fifth "Matrix" movie is in the works. The news comes after the last installment of “The Matrix” movies, “The Matrix Resurrections," ...