InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
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.
/presentations/general-ai-ml/en/mediumimage/Peter-Morgan-m-1554390277281.jpeg)
-
Jupyter Notebooks: Interactive Visualization Approaches
Chakri Cherukuri talks about how to understand and visualize machine learning models using interactive widgets and introduces the widget libraries.
/presentations/ml-models-jupyter/en/mediumimage/Chakri-Cherukuri-m-1554358378987.jpg)
-
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.
/presentations/linkedin-privacy-ml/en/mediumimage/Krishnaram-Kenthapadi-m-1554224253811.jpg)
-
Michelangelo - Machine Learning @Uber
Jeremy Hermann talks about Michelangelo - the Machine Learning Platform that powers most of the machine learning solutions at Uber.
/presentations/uber-ml-michelangelo/en/mediumimage/Jeremy-Hermann-m-1553676375704.jpg)
-
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..
/presentations/ai-demo-serverless/en/mediumimage/ai-demo-serverless-m-1553714989409.jpg)
-
Event-Driven Architectures with Apache Geode and Spring Integration
Charlie Black deploys Spring Integration pipelines to react to changes of the data stored in Apache Geode.
/presentations/apache-geode-spring-integration-pipelines/en/mediumimage/Chabig-1553140295208.JPG)
-
Would You Have Clicked on What We Would Have Recommended?
Peter B. Golbus describes recent work on the offline estimation of recommender system A/B tests using counterfactual reasoning techniques.
/presentations/recommender-system-ab-tests/en/mediumimage/Peter-B-Golbus-m-1553005279871.jpg)
-
Fast and Furious: Searching in a Distributed World with Highly Available Spring Data Redis
Julien Ruaux discusses the Redis Enterprise architecture and demos Redis clusters, builds three microservices, performs full-text searches, and views the results using Spring Boot Web and Angular.
/presentations/redis-enterprise-spring/en/mediumimage/Julbig-1552612967794.JPG)
-
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.
/presentations/open-ai-advertisers/en/mediumimage/SaKbig-1552274303066.JPG)
-
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.
/presentations/ai-bias-discrimination-model/en/mediumimage/Fedbig-1552009334386.JPG)
-
Next Generation MongoDB: Sessions, Streams, Transactions
Christoph Strobl, Jeff Yemin discuss some of the features in latest MongoDB versions: sessions, change streams, retriable writes, reactive access and transactions.
/presentations/mongodb-sessions-streams-transactions/en/mediumimage/Doibig-1551659041352.JPG)
-
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.
/presentations/facial-recognition-adversarial-attack/en/mediumimage/Grebig-1551658730045.JPG)