Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by ...
Researchers at the University of California San Diego and Rutgers University created a brain-inspired device combining memory ...
Advancements in light-based AI architectures are being pursued under the leadership of Dr. Pramod Kumar at QRDC ...
Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...
Here is how you know that GenAI training and GenAI inference are very different computing and networking beasts, and ...
Electronics usually fail under extreme heat, but scientists have now created a memory chip that keeps working at temperatures ...
And they already have a startup.
Memory of the stars.
The fitment factor is emerging as the biggest battleground for the 8th Pay Commission, with employee unions demanding up to 3 ...
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 ...
Abstract: In this paper, we propose a novel construction for secure distributed matrix multiplication (SDMM) based on algebraic geometry (AG) codes, which we call the PoleGap SDMM scheme. The proposed ...
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