InfoQ Homepage Artificial Intelligence Content on InfoQ
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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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Facial Recognition Adversarial Attacks, Policy and Choice
Gretchen Greene demonstrates the technical feasibility of facial recognition adversarial attacks, describes using it at airports and borders and invites contributions to their open sourced prototype.
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