A Radical New Computer Could Replace Electricity With Light—and Make Processing Unstoppable

A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Morning Overview on MSN

MIT’s heat-powered silicon chips hit 99% accuracy in math tests

Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...
IEEE

A Hardware/Software Co-Design of Matrix-Vector Multiplication with Arbitrary Dimensions for DSP Algorithms

Abstract: Matrix-vector multiplication is practically used in all Digital Signal Processing (DSP) algorithms. Particularly, in the channel emulation field, it is required to perform this algorithm in ...
Interesting Engineering on MSN

MIT’s new heat-powered silicon chips achieve 99% accuracy in math calculations

Scientists in the US have created a tiny silicon chip that can perform mathematical ...
IEEE

Reduced-Bandwidth Multithreaded Algorithms for Sparse Matrix-Vector Multiplication

Abstract: On multicore architectures, the ratio of peak memory bandwidth to peak floating-point performance (byte:flop ratio) is decreasing as core counts increase, further limiting the performance of ...