A new technical paper, “Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling ...

Abstract: Characterizing and understanding graph neural networks (GNNs) is essential for identifying performance bottlenecks and facilitating their deployment in parallel and distributed systems.

Retrieval-augmented generation (RAG) has emerged as a pivotal framework in AI, significantly enhancing the accuracy and relevance of responses generated by large language models (LLMs) leveraging ...

Abstract: Over the past three decades, the acceptance of higher risk thresholds within the space industry has facilitated the widespread integration of commercial off-the-shelf (COTS) components into ...

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Kimber Streams Kimber Streams is a writer who has been covering laptops and ...

MLX leverages Apple Silicon’s performance to help developers deploy powerful on-device AI apps on Mac devices.

Blake has over a decade of experience writing for the web, with a focus on mobile phones, where he covered the smartphone boom of the 2010s and the broader tech scene. When he's not in front of a ...

Nothing ever made is truly perfect and indeed, CPU architectures like x86, RISC-V, ARM, and PowerPC all have their own upsides and downsides. Today, I aim to make an architecture that learns from all ...