Abstract: Quality and efficiency objectives in surface mount technology (SMT) production are inherently conflicting, posing a significant challenge for collaborative optimization. Dynamic factors, ...

A study of 67 AI models finds enterprises underestimate multi-model failure rates by 2.25x, and offers a free test to check ...

A multi-cloud MLOps framework improves AI service reliability through automated deployment, canary releases, and cross-cloud failover. By ...

Autocomp is a portable, extensible framework for LLM-driven kernel optimization across tensor accelerators. Point it at a kernel, pick your hardware target, and Autocomp speeds it up, automatically.

Abstract: The rapid expansion of cloud data centers, driven by the increasing demand for diverse user services, has escalated energy consumption and greenhouse gas emissions, posed severe ...