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Development

Featured in Development

The Excel Formula Language Is Now Turing-Complete

The Excel team announced LAMBDA, a new feature that lets users define and name formula functions. LAMBDA functions admit parameters, can call other LAMBDA functions and recursively call themselves. With LAMBDA, the Excel formula language is Turing-complete: user-defined functions can thus compute anything without resorting to imperative languages (e.g., VBA, JavaScript).

All in development

Architecture & Design

Featured in Architecture & Design

Architecting for Focus, Flow, and Joy: beyond the Unicorn Project

The panelists discuss some of the most fun and least fun moments coding, how functional programming practices have helped, and how productivity can be unleashed at a team-of-teams scale.

All in architecture-design

AI, ML and Data Engineering

Featured in AI, ML & Data Engineering

Benefits of Loosely Coupled Deep Learning Serving

As deep networks are becoming more specialized and resource-hungry, serving such networks on acceleration hardware in tight-budget environments is also becoming difficult. Instead of using API frameworks, loosely coupled components can be preferred as an alternative. They bring high controllability, easy adaptability, transparent observability, and cost-effectiveness when serving deep networks.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

A Journey in Test Engineering Leadership: Applying Session-Based Test Management

This article shows how modifying Session-based Test Management to our context helped us gain more visibility into our testing. Having a structured yet flexible approach to test management allowed us to make better, more timely decisions about the testing, and gave us more opportunities to influence quality decisions earlier in the process.

All in culture-methods

DevOps

Featured in DevOps

InfoQ Roundtable: Embracing Production: Make Yourself at Home

The panelists discuss operating distributed systems in production, how they embrace production, and ways to make it easier for others to onboard and keep the system up and running.

All in devops

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InfoQ Live August

Learn best practices for migrating to cloud native architectures. Virtual Event on August 17th, 9 am EDT / 3 pm CEST

InfoQ Live September

Learn how to apply containerized applications to improve application speed, reliability and deployment. Virtual Event on September 21th, 9AM EDT / 3PM CEST

QCon Plus Hybrid Software Conference

Learn from world-class domain experts. Attend online on Nov 1-5.

Resilience Engineering in the Age of COVID

Learn how leading software companies are designing & managing for resilience

InfoQ Homepage Global Artificial Intelligence 2017 Content on InfoQ

Global Artificial Intelligence 2017

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Presentations about Global Artificial Intelligence 2017

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AI, ML & Data Engineering

AI in Finance: from Hype to Marketing and Cybersec Applications

Natalino Busa
on Nov 16, 2017

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33:22
AI, ML & Data Engineering

Systems That Learn

Stephen Buckley
on Nov 05, 2017

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28:52
Architecture & Design

Solving Business Problems with AI

Michael Feng Eldar Sadikov Christopher Moody Delip Rao Alexander Tsyplikhin Michelle Casbon Alexy Khabrov
on Jun 17, 2017

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01:03:20
Architecture & Design

The Seven Myths of AI

Robin Bordol
on Jun 04, 2017 2

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34:03
AI, ML & Data Engineering

Comparing Deep Learning Frameworks

Jeffrey Shomaker
on May 28, 2017 1

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25:52
AI, ML & Data Engineering

AI-Based Data Extraction

George Roth
on May 28, 2017

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39:23
Architecture & Design

The Future of Artificial Intelligence

Bill Reichert Michael Natusch Bhairav Mehta Rashad Moataz Carrie Solinger Jessica Groopman
on May 14, 2017

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01:02:04
AI, ML & Data Engineering

Deep Learning Applications in Business

Diego Klabjan
on May 07, 2017

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39:06
Architecture & Design

Beyond Chatbots: The Future of AI and Business

Will Murphy
on Apr 30, 2017

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39:11
AI, ML & Data Engineering

AI from an Investment Perspective

Pankaj Mitra Doug Dooley Kiersten Stead Leonard Speiser Kartik Gada Yashwanth Hemaraj Sanjit Dang
on Apr 18, 2017

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42:48
AI, ML & Data Engineering

Machine Learning at Scale

Aditya Kalro
on Apr 18, 2017

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21:07
AI, ML & Data Engineering

AI in Medicine

Anthony Chang
on Apr 09, 2017

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32:43
AI, ML & Data Engineering

Using NLP, Machine Learning & Deep Learning Algorithms to Extract Meaning from Text

David Talby
on Apr 02, 2017

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35:13
AI, ML & Data Engineering

The State of AI

Jim Mchugh
on Mar 14, 2017

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32:59

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