InfoQ Homepage Programming Content on InfoQ
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Reactive Systems Architecture
Jan Machacek and Matthew Squire give us the answer to the click-baity headline “Four things that make the biggest impact in distributed systems”, together with architectural and code examples.
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wav2letter++: Facebook's Fast Open-Source Speech Recognition System
Vitaliy Liptchinsky introduces wav2letter++, an open-source deep learning speech recognition framework, explaining its architecture and design, and comparing it to other speech recognition systems.
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US Marines, Agile and Heuristics
Peter Pito explores how to create a set of heuristics underpinned by Agile principles and practices that can be used to create a delivery foundation.
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Orchestrating Robot Swarms with Java
Matthew Cornford focuses on Ocado’s latest generation of highly automated warehouses and looks into Java’s role for orchestrating huge swarms of robots for superior efficiencies of scale.
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Attack of the Monorepos
Rupert Redington introduces monorepos, exploring some of the available tooling and then illustrates the changes their team experienced adopting them.
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Scaling Erlang Cluster to 10,000 Nodes
Maxim Fedorov demonstrates an example of a live Erlang cluster being scaled from just a few nodes to 10,000 machines with no service interruption.
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Corda: Looking Forward and Back, Blockchain on a JVM Stack
Carolyne Quinn and Mike Ward discuss Corda, an open source enterprise blockchain, and look at technologies used: Kotlin, JVMs, pluggable consensus, Corda Foundation and SGX,.
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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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Habito: The Purely Functional Mortgage Broker
Will Jones talks about Haskell at Habito, some of the wins and trade-offs. He also talks about why functional programming is beneficial for large projects, and with migrating a data store.
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RxJS: A Better Way to Write Front-End Applications
Hannah Howard talks about the premise of functional reactive programming and how it represents a major conceptual shift but one that can vastly simplify front-end programming.
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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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Massive Scale Anomaly Detection Framework
Guy Gerson introduces an anomaly detection framework PayPal uses, focusing on flexibility to support different types of statistical and ML models, and inspired by scikit-learn and Spark MLlib.
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