InfoQ Homepage Artificial Intelligence Content on InfoQ
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Scaling Emerging AI Applications with Ray
Peter Schafhalter discusses about his work with Ray, a distributed execution framework for emerging AI applications, Tune, and Modin.
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Practical NLP for the Real World
Emmanuel Ameisen discusses examples of how to build practical applications using NLP, diving into data visualization and labelling, as well as model validation.
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The Future of Transportation
Anita Sengupta discusses the future of transportation with an eye towards how machine learning and AI will help shape the future.
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Modern NLP for Pre-Modern Practitioners
Joel Grus discusses the latest in NLP research breakthrough, and how to incorporate NLP concepts and models into a project.
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H2O's Driverless AI: An AI That Creates AI
Marios Michailidis shares their approach on automating machine learning using H2O’s Driverless AI.
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Intuition & Use-Cases of Embeddings in NLP & beyond
Jay Alammar talks about the concept of word embeddings, how they're created, and looks at examples of how these concepts can be carried over to solve problems.
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How to Prevent Catastrophic Failure in Production ML Systems
Martin Goodson describes the unpredictable nature of artificial intelligence systems and how mastering a handful of engineering principles can mitigate the risk of failure.
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Building Artificial General Intelligence
Peter Morgan takes a look at how deep learning is presently being extended in ways that take AI technologies far beyond the simple image classifiers that they were originally developed to solve.
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Fairness, Transparency, and Privacy in AI @LinkedIn
Krishnaram Kenthapadi focuses on the application of privacy-preserving data mining and fairness-aware ML techniques in practice, by presenting case studies spanning different LinkedIn applications.
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Making AI FaaSt
Dragos Dascalita Haut and Akhilesh Kumar demo an AI app built with serverless, composing multiple AI functions into one workflow deployed on a FaaS on Apache OpenWhisk..
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Open AI for Advertisers: Discover Your Audience
Saket Mengle discusses the Open AI for Advertisers, which is a scalable, ROI positive third-party audience discovery algorithm that is meant to improve the customer acquisition effectiveness.
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Ethics and AI: Identifying and Preventing Bias in Predictive Models
Federica Pelzel explores how bias and discrimination can be introduced into models, and different strategies to prevent it from happening.
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