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 ...

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 ...

In A Nutshell Dissolving microneedle patches embedded with microscopic bubbles deliver three acne medications simultaneously, ...

Traditional technical debt metaphors suggest something that can be paid down incrementally. Over-engineering does not behave ...

Abstract: We study the statistical decision process of detecting the low-rank signal from various signal-plus-noise type data matrices, known as the spiked random matrix models. We first show that the ...

This article will take single-precision matrix multiplication (Sgemm) as an example to discuss the optimization and acceleration of CUDA performance, and use the basic knowledge of CUDA optimization ...

Abstract: Matrix multiplication computation (MMC) is a fundamental operation with various applications, including linear regression, k-nearest neighbor classification and biometric identification.

You can do a lot to take care of yourself and give your body what it needs. Still, as you get older, your body changes in ways you can't always control. For most men, one of those changes is that the ...

The Long Multiplication Benchmark evaluates Large Language Models (LLMs) on their ability to handle and utilize long contexts to solve multiplication problems. Despite long multiplication requiring ...