Compute-in-memory: State space models; ultra-thin AlScN memory; brain-inspired edge AI.
Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by ...
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 ...
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: 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 ...
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 ...
It's possible to solve some multiplication problems in your head. But sometimes it can help to use other methods instead. These include using visual aids, such as an array or place counters, or by ...
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