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AI, ML & Data Engineering

Q&A on the Book Accelerating Software Quality

The book Accelerating Software Quality by Eran Kinsbruner explores how we can combine techniques from artificial intelligence and machine learning with a DevOps approach to increase testing effectiveness and deliver higher quality. It provides examples and recommendations for using AI/ML-based solutions in software development and operations.

Ben Linders Eran Kinsbruner
on Nov 02, 2020
AI, ML & Data Engineering

Is Artificial Intelligence Closer to Common Sense?

Intelligent agents lack the common-sense knowledge they need to reason about the world. Traditionally, there have been two unsuccessful approaches to getting computers to reason about the world—symbolic logic and deep learning. A new project, called COMET, tries to bring these two approaches together. Although it has not yet succeeded, it offers the possibility of progress.

Michael Stiefel
on Oct 19, 2020
AI, ML & Data Engineering

Challenges of Human Pose Estimation in AI-Powered Fitness Apps

In this article, the author discusses the human pose estimation solution powered by AI technologies and the challenges faced in online fitness apps which use the pose estimation to predict the position of the human body based on an image or a video containing a person.

Maksym Tatariants
on Oct 15, 2020
Culture & Methods

Q&A on the Book Techlash

The book Techlash by Ian Mitroff and Rune Storesund explains why companies need to become socially responsible by considering the potential negative outcomes of technology. It explains how proactive crisis management can help prevent a crisis by the early detection and correction of deviations from expected conditions.

Ben Linders Ian Mitroff Rune Storesund
on Aug 26, 2020
AI, ML & Data Engineering

The First Wave of GPT-3 Enabled Applications Offer a Preview of Our AI Future

The first wave of GPT-3 powered applications are emerging. After priming of only a few examples, GPT-3 could write essays, answer questions, and even generate computer code! Furthermore, GPT-3 can perform algebraic calculations and language translations despite never being taught such concepts. However, GPT-3 is a black box with unpredictable outcomes. Developers must use it responsively.

Vivian Hu
on Aug 12, 2020
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).

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

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.

Lloyd Danzig
on May 11, 2020
Culture & Methods

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.

Daniel Gold
on May 04, 2020
DevOps

What’s Next in DevOps?

The DevOps movement continues to grow and gain influence in the IT world and the business world at large. As the organisations become increasingly digital, the agility of our IT systems becomes critical to the life and health of the companies.

Andrew Davis
on Mar 27, 2020
Culture & Methods

Q&A on the Book AI Crash Course

The book AI Crash Course by Hadelin de Ponteves contains a toolkit of four different AI models: Thompson Sampling, Q-Learning, Deep Q-Learning and Deep Convolutional Q-learning. It teaches the theory of these AI models and provides coding examples for solving industry cases based on these models.

Ben Linders Hadelin de Ponteves
on Mar 19, 2020
Cloud

Has an AI Cyber Attack Happened Yet?

AI cyber attacks have happened and are happening, with increasing regularity. This article looks at recent attacks, the role of bots, and defense strategies you can employ.

Sam Bocetta
on Mar 10, 2020
AI, ML & Data Engineering

The Road to Artificial Intelligence: An Ethical Minefield

Increasingly-rapid developments in the field of AI have offered society profound benefits, but have also produced complex ethical dilemmas. Many of the most nefarious issues are often overlooked, even in the engineering community. There also exists the meta-ethical question of who ought to be the ones making decisions concerning the encoding of values into autonomous systems.

Lloyd Danzig
on Jan 26, 2020