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 ...

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

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 ...

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 ...