AISystems Launches: Advancing Scalable, Reliable, and Sustainable AI Systems Engineering
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:
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AI systems engineering, including design, deployment, and optimization strategies
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Development and evaluation of large language models, foundation models, and multimodal AI systems
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Robustness testing, benchmarking, model validation, and failure analysis
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MLOps, CI/CD, model governance, and lifecycle management
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Trustworthy AI practices: transparency, fairness, accountability, and bias mitigation
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Edge AI, embedded intelligence, and distributed inference frameworks
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Autonomous agents, multi-agent systems, and intelligent automation pipelines
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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.
