Context. LLM-based autonomous agents in software engineering rely on large, proprietary models, limiting local deployment. This has spurred interest in Small La...
Deploying multiple models within shared GPU clusters is promising for improving resource efficiency in large language model (LLM) serving. Existing multi-LLM se...
For more than a decade, Nvidia’s GPUs have underpinned nearly every major advance in modern AI. That position is now being challenged. Frontier models such as G...
Introduction to Microsoft Defender for Endpoint In today’s rapidly evolving digital landscape, organizations face a mounting challenge in safeguarding their se...
The reliance of organisations on computer networks is enabled by network programmability, which is typically achieved through Service Function Chaining. These c...
Nowadays, visual intelligence tools have become ubiquitous, offering all kinds of convenience and possibilities. However, these tools have high computational re...
We present a novel predict-then-optimize framework for maritime search operations that integrates trajectory forecasting with UAV deployment optimization-an end...
The field of automated algorithm design has been advanced by frameworks such as EoH, FunSearch, and Reevo. Yet, their focus on algorithm evolution alone, neglec...
We extend recent 256 SSE vector work to 512 AVX giving a four fold speedup. We use MAGPIE (Machine Automated General Performance Improvement via Evolution of so...
Agentic AI systems built on large language models (LLMs) offer significant potential for automating complex workflows, from software development to customer sup...
AI Transformations in Clinical Practice AI is changing healthcare fast — not by replacing doctors, but by giving them superpowers. From spotting patterns in MR...
French AI startup Mistral has weathered a rocky period of public questioning over the last year to emerge, now here in December 2025, with new, crowd-pleasing m...
