Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...

Memory of the stars.

Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by ...

Abstract: This research proposes and evaluates a novel approach to optimizing matrix multiplication (MatMul) on Huawei Ascend NPUs, motivated by a key insight: during matrix-vector multiplication ...

And they already have a startup.

When it comes to large language models on edge devices, there’s arguably one metric that matters the most: time to first ...

Advancements in light-based AI architectures are being pursued under the leadership of Dr. Pramod Kumar at QRDC ...

Every word you type into an AI tool gets converted into numbers. Not metaphorically, literally. Each word (called a token) is ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Electronics usually fail under extreme heat, but scientists have now created a memory chip that keeps working at temperatures ...

A team of engineers has created a breakthrough memory device that keeps working at temperatures hotter than molten lava, ...

B = mfill(matrix(3; 4); -1)'- creates a 3x4 rectangular target matrix and fills it with -1 copy(A; B; 1; 1)'- copies A to B at indexes (1,1) of B copy(A; B; 2; 2 ...