AISystems Launches: Advancing Scalable, Reliable, and Sustainable AI Systems Engineering

01/04/2026

We are pleased to announce the launch of AISystems. As AI technologies become deeply embedded across industries, building reliable, efficient, and governable AI systems has emerged as a critical challenge for both academia and industry. AISystems is created to bridge theoretical AI research and systems practice, advancing the real-world deployment of AI at scale.

Topics covered include, but are not limited to:

  • AI systems engineering, including design, deployment, and optimization strategies

  • Development and evaluation of large language models, foundation models, and multimodal AI systems

  • Robustness testing, benchmarking, model validation, and failure analysis

  • MLOps, CI/CD, model governance, and lifecycle management

  • Trustworthy AI practices: transparency, fairness, accountability, and bias mitigation

  • Edge AI, embedded intelligence, and distributed inference frameworks

  • Autonomous agents, multi-agent systems, and intelligent automation pipelines

  • Hardware acceleration, GPU/TPU optimization, energy-efficient AI, and green computing infrastructure

We welcome submissions from academic, industrial, and interdisciplinary teams to jointly drive innovation in AI system performance, reliability, and sustainability.