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Development

Featured in Development

Dynamic Creation of Well-typed DSL Expressions

Pieter Koopman shows how to make dynamic editors for complex user inputs in iTask programs using dynamic types.

All in development

Architecture & Design

Featured in Architecture & Design

Panel: the Correct Number of Microservices for a System Is 489

New research from the University of Sledgham-on-the-World has revealed that the correct number of microservices for any software system is 489. Given that, why have so many organizations used a different number of microservices? The panelists discuss the architecture of their various systems, what trade-offs they have made in the design of their systems, and how their system has evolved over time.

All in architecture-design

AI, ML and Data Engineering

Featured in AI, ML & Data Engineering

State of the Art in Automated Machine Learning

InfoQ caught up with experts Francesca Lazzeri, Machine Learning Scientist Lead at Microsoft; Matthew Tovbin, Co-founder of Faros AI; Adrian de Wynter, Applied Scientist in Alexa AI’s Secure AI Foundations; Leah McGuire, Principal Member of Technical Staff at Salesforce; and Marios Michailidis, Data Scientist at H2O.ai, about the state of the art in automated machine learning (AutoML).

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Retrospectives for Management Teams

Engaging top management in a recurring retrospective approach can result in long-term value in organizations. Retrospectives can help management teams to explore how they collaborate and cooperate. They can find out whether they should change something and decide on action points that propel the team forward and make them more effective.

All in culture-methods

DevOps

Featured in DevOps

Book Review and Q&A on "Standing on Shoulders: A Leader's Guide to Digital Transformation"

The book “Standing on Shoulders: A Leader’s Guide to Digital Transformation” provides an introduction to relevant thinking and practices on how to identify and address the major bottlenecks and concerns for transforming organizations. The authors share their industry experience applying these ideas, and how the move to remote working might change our approach to digital transformation.

All in devops

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AI, ML & Data Engineering

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Podcasts about AI, ML & Data Engineering

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Architecture & Design

Josh Wills on Building Resilient Data Engineering and Machine Learning Products at Slack

Josh Wills
on Dec 08, 2019

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30:52
Architecture & Design

Victor Dibia on TensorFlow.js and Building Machine Learning Models with JavaScript

Victor Dibia
on Nov 08, 2019 1

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28:00
Architecture & Design

Bryan Cantrill on Rust and Why He Feels It’s The Biggest Change in Systems Development in His Career

Bryan Cantrill
on Apr 12, 2019

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38:41
AI, ML & Data Engineering

Katharine Jarmul and Ethical Machine Learning

Katharine Jarmul
on Mar 16, 2019

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32:29
Architecture & Design

Grady Booch on Today’s Artificial Intelligence Reality and What it Means for Developers

Grady Booch
on Feb 22, 2019

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32:32
Architecture & Design

Emmanuel Ameisen, Head of AI at Insight, on Building a Semantic Search System for Images

Emmanuel Ameisen
on Oct 08, 2018

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35:19
Architecture & Design

Mike Lee Williams on Probabilistic Programming, Bayesian Inference, and Languages Like PyMC3

Mike Lee Williams
on Aug 31, 2018

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33:16

Guides about AI, ML & Data Engineering

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Presentations about AI, ML & Data Engineering

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AI, ML & Data Engineering

The Fast Track to AI with JavaScript and Serverless

Peter Elger
on Jul 31, 2020

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40:54
AI, ML & Data Engineering

Is Machine Learning the Right Tool?

Brian Korzynski
on Jul 26, 2020

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50:31
AI, ML & Data Engineering

Visual Intro to Machine Learning and Deep Learning

Jay Alammar
on Jul 22, 2020

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54:30
AI, ML & Data Engineering

From Mainframe to Microservices with Pivotal Platform and Kafka: Bridging the Data Divide

Dmitry Milman Ankur Kaneria
on Jul 16, 2020

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34:44
AI, ML & Data Engineering

Everything You Wanted to Know about Apache Kafka But Were Too Afraid to Ask!

Ricardo Ferreira
on Jul 12, 2020

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35:39
AI, ML & Data Engineering

Accuracy as a Failure

Vincent Warmerdam
on Jul 02, 2020

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54:11
AI, ML & Data Engineering

High-Performance Data Processing with Spring Cloud Data Flow and Geode

Cahlen Humphreys Tiffany Chang
on Jun 28, 2020

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34:16

MORE PRESENTATIONS

News about AI, ML & Data Engineering

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AI, ML & Data Engineering

AI Conference Recap: Facebook, Google, Microsoft, and Others at ACL 2020

Anthony Alford
on Aug 04, 2020
AI, ML & Data Engineering

Google Open-Sources AI for Mapping Natural Language to Mobile UI Actions

Anthony Alford
on Jul 28, 2020
AI, ML & Data Engineering

Google Announces TensorFlow 2 Support in Object Detection API

Anthony Alford
on Jul 21, 2020
AI, ML & Data Engineering

Accelerating Machine Learning Lifecycle with a Feature Store

Srini Penchikala
on Jul 20, 2020
Cloud

Google Launches the First NVIDIA Ampere A100 GPUs in the Cloud with Computing Engine A2 VMs

Steef-Jan Wiggers
on Jul 16, 2020
AI, ML & Data Engineering

ROS 2 Foxy Fitzroy Release Improves Security and Tooling

Anthony Alford
on Jul 14, 2020
Architecture & Design

QCon San Francisco Announces 2020 Tracks

Adelina Turcu
on Jul 10, 2020
AI, ML & Data Engineering

Microsoft's ZeRO-2 Speeds up AI Training 10x

Anthony Alford
on Jul 07, 2020

Articles about AI, ML & Data Engineering

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AI, ML & Data Engineering

State of the Art in Automated Machine Learning

Anthony Alford Francesca Lazzeri Matthew Tovbin Adrian de Wynter Leah McGuire Marios Michailidis
on Aug 05, 2020
AI, ML & Data Engineering

How to Get Hired as a Machine Learning Engineer

Roland Meertens
on Jul 28, 2020 1
AI, ML & Data Engineering

Data Leadership Book Review and Interview

Srini Penchikala Anthony Algmin
on Jul 25, 2020
Culture & Methods

Innovation Startups Modeling Agile Culture

Alejandro Ruiz
on Jul 17, 2020
AI, ML & Data Engineering

Applied Probability - Counting Large Set of Unstructured Events with Theta Sketches

Ronen Cohen
on Jun 29, 2020
Java

TornadoVM: Accelerating Java with GPUs and FPGAs

Juan Fumero
on Jun 13, 2020
Java

Machine Learning in Java with Amazon Deep Java Library

Xinyu Liu Frank Liu Frank Greco Zoran Sevarac Balaji Kamakoti
on May 28, 2020

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