InfoQ Homepage Programming Content on InfoQ
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Maximizing Performance with GraalVM
Thomas Wuerthinger discusses the best practices for Java code and compiler configurations to maximize performance with GraalVM and how to measure performance in a reliable manner.
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State Management for React Using Context and Hooks
Vlad Zelinschi explores a barebones alternative approach to state management that is suitable for small/medium apps as well as defines the pros and cons when compared to Redux.
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Panel: First Steps with Machine Learning
The panelists discuss the first principles to follow when adding ML to a system.
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Panel: Sequential Data
The panelists discuss how the different fields within sequential data processing can benefit from each other, what the future trends are that we expect and take questions.
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Java Futures, 2019 Edition
Java Language Architect Brian Goetz gives a tour of some of the features coming to Java next.
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Artificial Pancreas System: #WeAreNotWaiting in Healthcare
Dana Lewis discusses open source innovation in unexpected places and how we can democratize data (and innovation processes) to enable more people to solve the most pressing problems in their lives.
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Learning from Machines
Ashi Krishnan discusses biological and artificial minds, exploring how models of cognition informed by ML and computation can help reconfigure processes of being.
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Creating a Trusted Narrative for Data-Driven Technology
Indra Joshi talks about the hype and promise surrounding AI-based technology within health and care, and how to ensure that what gets developed or commissioned is ethically developed.
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A New Way to Profile Node.js
Matteo Collina presents a new and straightforward way to identify bottlenecks in Node.js and beyond.
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Deep Learning with Audio Signals: Prepare, Process, Design, Expect
Keunwoo Choi introduces what the audio/music research societies have discovered while playing with deep learning when it comes to audio classification and regression.
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DeepRacer and DeepLens, Machine Learning for Fun! (and Profit?)
Jeremy Edberg shares his work with DeepRacer and DeepLens, talking about some of the basics of ML used in these projects and showing a DeepRacer in action.
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Policing the Capital Markets with ML
Cliff Click talks about SCORE, a solution for doing Trade Surveillance using H2O, Machine Learning, and a whole lot of domain expertise and data munging.
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