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2022 IEEE ACM 1st International Conference on AI Engineering Software Engineering for AI (CAIN)

by IEEE Staff

★★★★★ 5.0 / 1 review
$0.99 EPUB & PDF
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Year
2022
Language
eng
Format
EPUB & PDF

Description

As AI systems transition from experimental prototypes to mission-critical infrastructure, the industry demands more than model accuracy—it requires rigorous engineering discipline. The 2022 IEEE ACM 1st International Conference on AI Engineering (CAIN) addresses this gap by compiling peer-reviewed research focused on building reliable, interpretable, and deployable AI systems. This collection is essential reading for software engineers, ML practitioners, and researchers who need to move beyond model training into production-grade engineering.\n\nThis comprehensive anthology covers the full AI lifecycle: monitoring, interpretability, data quality, and software engineering methodologies specifically designed for machine learning systems. Rather than focusing on a single algorithm, CAIN presents a holistic framework for building AI that is trustworthy and maintainable. Each paper is peer-reviewed by IEEE and ACM, ensuring the highest academic and practical standards.\n\nWhether you are a software architect building enterprise AI, an ML engineer deploying models at scale, or a researcher exploring the frontiers of AI system reliability, this volume provides the foundational knowledge necessary to build production-ready systems. The 2022 CAIN proceedings are a must-have resource for anyone serious about the engineering side of artificial intelligence.

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Reviews (1)

Tom Reed Jul 25, 2026
★★★★★ 5

Bought this on a whim and ended up highlighting half the book. Highly recommend. Highlighted a ton.