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

Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...

He is talking about security and privacy. But he might just as easily be describing the quiet conviction — held now by a ...

At a recent Bengaluru mixer hosted by E2E Networks, NVIDIA, and YourStory, founders and ecosystem builders unpacked the real ...

Emmanuel Onyegu said it’s always been his dream to be recognized by Guinness World Records. His mastery of math might just get him there.

This mini PC is small and ridiculously powerful.

Bright stickers labeled “AI inside” and “Copilot+ ready” dominate the marketing landscape, while traditional specifications have quietly receded into the background. This article examines the rise of ...

When a videogame wants to show a scene, it sends the GPU a list of objects described using triangles (most 3D models are broken down into triangles). The GPU then runs a sequence called a rendering ...

Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...

Abstract: In modern machine learning models like Transformers, matrix multiplication dominates most computation. Specific hardware often uses large-scale PE arrays, such as systolic arrays, to ...

The elite team of Karate Cats have completed their training and are now ready to compete to be maths champions! Join the Karate Cats and improve your KS1 maths skills. Earn the bronze, silver and gold ...