SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...
Computer Weekly

LLM series - What developers need to know about Large Language Models?

The latest trends in software development from the Computer Weekly Application Developer Network. A developer strolls casually into work and gets comfy in their cubicle. Suddenly there’s an update ...
Computer Weekly

LLM series - Snorkel AI: Distillation refines LLMs into smaller (richer) droplets of data science

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Braden Hancock in his ...
Semiconductor Engineering

Silicon Photonic Interconnected Chiplets With Computational Network And IMC For LLM Inference Acceleration (NUS)

A new technical paper titled “PICNIC: Silicon Photonic Interconnected Chiplets with Computational Network and In-memory Computing for LLM Inference Acceleration” was published by researchers at the ...
Search Engine Land

LLM optimization in 2026: Tracking, visibility, and what’s next for AI discovery

Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude? LLM optimization is taking ...