Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...
Virtualization Review

AI on a Raspberry Pi: Part 3 -- Testing Different LLMs

Benchmarking four compact LLMs on a Raspberry Pi 500+ shows that smaller models such as TinyLlama are far more practical for local edge workloads, while reasoning-focused models trade latency for ...
Yehey.com

Yehey.com - Cloudflare Shifts Revenue Model to Capitalize on AI Boom

AWS, Google Cloud, and Azure are aggressively promoting their own edge AI offerings (e.g., AWS Wavelength, Google Cloud Edge ...

OpenAI starts offering a biology-tuned LLM

On Thursday, OpenAI announced it had developed a large language model specifically trained on common biology workflows.
XDA Developers on MSN

I built a local AI stack with 5 Docker containers, and now I'll never pay for ChatGPT again

A private AI empire via Docker.
MIT Technology Review

Making AI operational in constrained public sector environments

Purpose-built small language models provide a practical solution for government organizations to operationalize AI with the ...
Que.com on MSN

Cloudflare revenue model shifts amid AI boom

Introduction: Cloudflare at the Crossroads of Edge Computing and AI In the past two years, the technology landscape has been ...
IEEE

In-Depth Comparative Analysis of Transformer Losses in High-Frequency Isolated DC-DC Converters Using the Steinmetz, Generalized Steinmetz, and Improved Generalized Steinmetz ...

Abstract: The losses in a transformer can be divided into conductor losses and core losses. The latter are commonly estimated using the Steinmetz equation, under the assumption of sinusoidal ...