Sparse matrices, which are common in scientific applications, are matrices in which most elements are zero. To save space and running time it is critical to only store the nonzero elements. A standard ...

Intel and AMD have jointly announced ACE, a new x86 instruction set extension that brings dedicated AI acceleration to CPUs, ...

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...

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Abstract: Field-programmable gate arrays (FPGAs) have become an attractive option for accelerating scientific applications. Many scientific operations such as matrix-vector multiplication and dot ...

A supercomputer in Shenzhen was declared the world’s fastest. It uses only standard microprocessors and not the ...

Abstract: Modern computationally-intensive applications often operate under time constraints, necessitating acceleration methods and distribution of computational workloads across multiple entities.

Right off the bat, let’s give a shout out to the mathematician propeller-heads who create the transformations that make it possible to do all kinds of high performance computing to simulate, model, ...

The U.S. ASIC Market was valued at USD 4.19 Billion in 2025 and is expected to reach USD 7.69 Billion by 2035, at a CAGR of 6.30%. Driven by Surging AI Accelerator Demand from Hyperscalers and Rising ...

AI anthropomorphism is a documented crisis in LLM science: a new Microsoft paper found more than half of 300 studies assumed ...

Students can plan their studies for board exam preparation with the official CBSE Class 12 Applied Maths syllabus (2026-27).