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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 3
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
Culture & Methods

How King uses AI to test Candy Crush Saga

To be able to improve features in games which are constantly evolving, the challenge will be to scale tests to be on a par with new feature development. Automated tests are vital for King to keep up testing Candy Crush, therefore they are constantly looking for new improved ways to test.

Alexander Andelkovic
on Dec 30, 2019
Culture & Methods

Q&A on the Book Rebooting AI

The book Rebooting AI explains why a different approach other than deep learning is needed to unlock the potential of AI. Authors Gary Marcus and Ernest Davis propose that AI programs will have to have a large body of knowledge about the world in general, represented symbolically. Some of the basic elements of that knowledge should be built in.

Ben Linders Gary Marcus Ernest Davis
on Nov 21, 2019