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, ...

The key idea is that temperature differences act as inputs, and the resulting heat diffusion produces the output ...

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 ...

The story so far: In 1999, California-based Nvidia Corp. marketed a chip called GeForce 256 as “the world’s first GPU”. Its purpose was to make videogames run better and look better. In the 2.5 ...

Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.

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 ...