InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Applied Probability - Counting Large Set of Unstructured Events with Theta Sketches
In this article, author Ronen Cohen discusses the solution to processing the event data using Theta Sketches and technologies like HBase and Kafka.
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TornadoVM: Accelerating Java with GPUs and FPGAs
The proliferation of heterogeneous hardware represents a problem for programming languages such as Java that target CPUs. TornadoVM extends the Graal JIT compiler to take advantage of GPUs & FPGAs and provides a flexible, high-level model whilst still enabling high performance and features such as live task migration.
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Machine Learning in Java with Amazon Deep Java Library
In this article, we demonstrate how Java developers can use the JSR-381 VisRec API to implement image classification or object detection with DJL’s pre-trained models in less than 10 lines of code.
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Q&A on the Book Hands-On Genetic Algorithms with Python
Hands-On Genetic Algorithms with Python by Eyal Wirsansky is a new book which explores the world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models. InfoQ interviewed Eyal Wirsansky about how genetic algorithms work and what they can be used for.
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The Road to Artificial Intelligence: a Tale of Two Advertising Approaches
Artificial Intelligence startups received a record $26.6bn in funding last year, yet a litany of stakeholders continue to demonstrate a lack understanding and education around the discipline. It is critical that entrepreneurs, investors, regulators, and consumers all remain vigilant in properly assessing advertising claims as relates to powerful, constantly-evolving technology.
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Edge Computing and Flow Evolution
Edge computing echoes science from the field of complex adaptive systems that explains scaling patterns. Understand this science to make better decisions about what to run "on the edge."
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What Do AI and Test Automation Have in Common?
These days AI is a big buzzword. While it rises in popularity, the controversy surrounding it flourishes as well. We will demystify AI, and see how it is already embedded in our everyday life, and then you are going to learn about how we (the folks at Testim.io) utilised this kind of groundbreaking technology to bring test automation to the next level.
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Reinforcement Machine Learning for Effective Clinical Trials
In this article, author Dattaraj Jagdish Rao explores the reinforcement machine learning technique called Multi-armed Bandits and discusses how it can be applied to areas like website design and clinical trials.
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Results from the InfoQ Reader Survey 2019
At the end of 2019, InfoQ ran a survey of our readers to find out what tools, techniques, and languages they were using. This is a summary of the results.
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Is Edge Computing a Thing?
Edge Computing is definitely a thing, but the computing need not occur at the edge. Instead what is needed is an ability to compute (anywhere) on streaming data from large numbers of dynamically changing devices, in the edge environment. This in turn demands an architectural pattern for stateful, distributed computing.
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Getting Started with Quarkus
Quarkus created quite a buzz in the enterprise Java ecosystem in 2019. What exactly is Quarkus? How is it different from other technologies established in the market? How can Quarkus help me or my organization? To better explain the motivation behind the Quarkus project, we need to look into the current state of software development.
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Key Takeaway Points and Lessons Learned from QCon London 2020
QCon returned to London this past March for its fourteenth year in the city, attracting over 1,600 senior developers, architects, data engineers, team leads, and CTOs. This article provides a summary of the key takeaways.
CONTENT IN THIS BOX PROVIDED BY OUR SPONSOR
FEATURED CONTENT:
Strong Consistency in Databases. What does it actually guarantee?
Evaluating Hbase and NoSQL Solutions for Real-time System of Record
Product Comparison Report for Key-Value Stores
Real-time Big Data at Hyperscale for AI, ML and IoT – What's Needed?Benchmark Reports
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