Researchers have built a computer that performs complex AI calculations in a single pass of light, completing what today’s fastest AI chips need multiple steps to accomplish. The breakthrough promises ...

Abstract: High performance implementation of matrix multiplication is essential for scientific computing. The memory access procedure is quite possible to be the bottleneck of matrix multiplication.

Abstract: We present a strictly balanced method for the parallel computation of sparse matrix-vector products (SpMV). Our algorithm operates directly upon the Compressed Sparse Row (CSR) sparse matrix ...

In a small apartment somewhere in Southeast Asia, a designer taps a phone screen and asks an artificial intelligence tool to sharpen a blurred product photo, soften the lighting and remove a messy ...

IBM Analog Hardware Acceleration Kit is an open source Python toolkit for exploring and using the capabilities of in-memory computing devices in the context of artificial intelligence. ⚠️ This library ...

Could optical technology offer a solution to the heat generation and bandwidth limitations that the computing industry is starting to face? The benefits of energy-efficient passive components, low ...

San Francisco 49ers quarterback Brock Purdy joins Front Office Sports at Super Bowl Radio Row to discuss NFL global expansion, winning on the road, and signing his new contract. Purdy also highlights ...

Slide 1: Matrix Multiplication in Deep Learning Matrix multiplication is a fundamental operation in deep learning, crucial for processing inputs, applying weights, and propagating information through ...