InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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TensorFlow: Pushing the ML Boundaries
Magnus Hyttsten talks about how Google uses Machine Learning to address problems that were not solvable a year ago, looking at models and how they can be built.
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AI & Security: Lessons and Challenges
Dawn Song presents results in the area of secure deep learning and how DL systems could be fooled and what can be done, how AI and DL can enable better security, and how security can enable better AI.
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SpringOne 2017 Keynote 1
Join the Pivotal team and their customers for an update on the Spring ecosystem, including the release of Spring Boot 2.0.
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Real-Time Decisions Using ML on the Google Cloud Platform
Przemyslaw Pastuszka and Carlos Garcia present how Big Data is handled in Google Cloud Platform to build an end-to-end machine learning pipeline.
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Cloud-Native and Scalable Kafka Architecture
Allen Wang talks about how Netflix addresses the issues of stability and scalability in a cloud environment by having many smaller and mostly immutable Kafka clusters with limited state changes.
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Scaling Uber's Elasticsearch Clusters
Danny Yuan talks about how Uber scaled its Elasticsearch clusters as well as its ingestion pipelines for ingestions, queries, data storage, and operations by a three-person team.
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Apache Geode Test Automation and Continuous Integration & Deployment (CI-CD)
Jeff Cherng and Anupama Pradhan discuss how to use Spring Boot, Ansible, and Concourse for Apache Geode application development, mock/integration tests, and no downtime CI-CD pipeline.
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Artificial Intelligence and Machine Learning for the SWE
Rob Harrop describes both his own journey from traditional Software Engineer to AI/ML Engineer, and his experience building a development team with ML at the heart.
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What's New in Spring for Apache Kafka 2.0
Gary Russell discusses Spring's support for Kafka including better threading and a new consumer-aware listener.
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Gaining Control with the Web Animations API
Dan Wilson discusses Web Animations API, how it came to be, what are its benefits like timelines, controls, and its dynamic nature in addition to detailing what is available today and coming soon.
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Pivotal Cloud Foundry, Google Machine Learning, and Spring
Brian Gregory, Brian Jimerson introduce the GCP Service Broker on Pivotal Cloud Foundry and the Google Cloud Machine Learning APIs demonstrating a Spring application using the Machine Learning APIs.
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Rethinking Deep Learning: Neural Compute Stick
Darren Crews talks about the The Movidius Neural Compute Stick (NCS) - a tiny fanless deep learning device that one can use to learn AI programming at the edge.
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