CNBC's Squawk Box Asia Martin Soong and Chery Kang talk about AMD's chip supply deal with OpenAI, plus the web of alliances, cross shareholdings and the money loop that could shape the AI space. Major ...

Currently, we have a couple of transformer that returns sparse matrix. With the work on array-api in the ecosystem, it could actually be annoying because matrix are not array and might not be ...

Abstract: Sparse arrays offer economic advantages by reducing the number of antennas. However, directly utilizing the covariance matrix of sparse array signals for wideband beamforming may lead to the ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

This passive device lets you steer signal beams for over-the-air wireless test systems. Because it’s designed for antenna, amplifier, and RF system testing, the LBM-7250-4 Lab Brick Butler Matrix lets ...

Computing the polar decomposition and the related matrix sign function has been a well-studied problem in numerical analysis for decades. Recently, it has emerged as an important subroutine within the ...

Google DeepMind’s AI systems have taken big scientific strides in recent years — from predicting the 3D structures of almost every known protein in the universe to forecasting weather more accurately ...

An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing. An ...

Surround-sound speakers can immerse you in a multimedia experience, but what if there was a speaker that could completely re-create a three-dimensional soundscape? The AudioDome is more than just a ...