Machine Learning Systems
PulseAugur coverage of Machine Learning Systems — every cluster mentioning Machine Learning Systems across labs, papers, and developer communities, ranked by signal.
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MLSYSIM framework enables rapid, full-stack ML infrastructure modeling
Researchers have developed MLSYSIM, a novel analytical framework designed for modeling machine learning systems infrastructure. This Python-based engine formalizes the "physics of systems" to enable rapid, full-stack ar…
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MLOps Fundamentals: Building and Deploying Machine Learning Systems
This article introduces the fundamental concepts of Machine Learning Operations (MLOps), focusing on the lifecycle of machine learning systems. It outlines the critical stages involved in building, deploying, and mainta…
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New framework REAL aims to improve ML system trustworthiness and alignment
A new framework called REAL (Requirements Engineering for mAchines that Learn - and Fail) has been proposed to enhance the trustworthiness and stakeholder alignment of machine learning systems. This model-based framewor…
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AI Fairness Frameworks Enhance Credit Underwriting Red Teaming
This article explores how algorithmic fairness frameworks can be used for red-teaming AI systems in credit underwriting. It suggests that these frameworks, beyond ensuring compliance, can help build more robust and secu…
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IML report offers new metrics for ML system security
Berryville IML has released a new report detailing methods for measuring security in machine learning systems, drawing parallels to established software security practices. The report, available for free under a creativ…
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DWeb Camp seeks proposals for public, accountable AI track
The DWeb Camp is seeking proposals for its Public AI track, with submissions due by May 15. This track focuses on strategies for developing LLMs and ML systems that are publicly accessible, accountable, and trustworthy.…