EDN

MLPerf and the rise of latency-aware LLM benchmarking

Here is a sneak peek at the evolution of the MLPerf benchmark and how generative AI forced a radical shift in AI hardware ...
Tech Xplore

Making LLMs faster and more efficient across multiple languages

Large language models (LLMs), which are the artificial intelligence (AI) systems behind modern chatbots, translation tools, ...

These LLMs are the best at resisting Russian propaganda

Unsurprisingly, recent frontier models showed a much stronger tendency to resist Russian propaganda than models from just a ...
Semiconductor Engineering

The Edge LLM Offload Story

Modern edge devices demand heterogeneous AI architectures that can mix and match subsystems to accelerate different aspects ...

Google unveils Gemma 4 12B for local AI agents, coding, and multimodal reasoning

Google DeepMind has introduced Gemma 4 12B, a new open-weight multimodal model designed to bring agentic intelligence ...
EDN

The hidden bottleneck in LLM inference and the impact on MLPerf benchmarking

Here is how the prefill versus generation split exposes GPU structural inefficiencies in AI processor designs.
XDA Developers on MSN

I replaced Cursor and Antigravity with a completely local VS Code setup, and I missed less than I expected

My self-hosted setup holds up pretty well for my coding tasks ...
IEEE

Analysis of Hot Spot Temperature Characteristics in Oil-Immersed Transformers Based on Multiphysics Simulation

Abstract: Oil-immersed power transformers, as core equipment in power grids, exhibit hot spot temperatures (HST) in their windings that directly determine the insulation aging rate and load capacity.
IEEE

BALANCE: Bit and Layer-Aware Lightweight ECC Design Method for In-Flash Computing Based LLM Inference Accelerator

Abstract: The shift of Large Language Model (LLM) inference to edge devices demands efficient hardware solutions that overcome memory, power, and computational constraints. In-Flash Computing (IFC) ...