MIT engineers use heat-conducting silicon microstructures to perform matrix multiplication with >99% accuracy hinting at energy-efficient analog computing beyond traditional chips. This artistic ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...

NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...

Katie has a PhD in maths, specializing in the intersection of dynamical systems and number theory. She reports on topics from maths and history to society and animals. Katie has a PhD in maths, ...

Abstract: Code-based Distributed Matrix Multiplication (DMM) has been widely studied as an effective method for large-scale matrix computations in distributed systems. Two central challenges in ...

A Coast Guard MH-60T Jayhawk was in a festive mood over the weekend, issuing a holly jolly “Ho-ho-ho” in the skies. As spotted by the Flightradar24 flight tracking site and shared on its X account, ...

Imagine this: you’re in the middle of a critical project, flipping through pages of hastily scribbled notes or scrolling endlessly through a digital mess, trying to find that one important detail.

So, you want to get good at LeetCode, especially using Java? It’s a common goal for a lot of us trying to land those tech jobs. This guide is all about helping you get there. We’ll go over how to ...

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 ...

Generative A.I. chatbots are going down conspiratorial rabbit holes and endorsing wild, mystical belief systems. For some people, conversations with the technology can deeply distort reality. By ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...