artificial intelligence

If you’re asked to contribute to your company’s e-newsletter or draft a blog post for the website or a design document, here are a few writing tips and resources you may find helpful.

When something about your job changes, it’s easy to panic. However, you shouldn’t discount all your current skills or fear you’ll have to be retrained just to continue testing and developing software. The best part about IoT and AI is that what you’re doing now will transfer over.

With Niantic Software’s Pokémon Go, the variables you’re dealing with are eons beyond what a normal testing team can manage. Millions upon millions of players are experiencing the application all over the world and putting it through paces that the development team might have never dreamed of.

Many predict artificial intelligence will someday cure cancer, clean up our environment, drastically improve our cities, and send us to Mars. However, with the potential benefits come risk and concern about what exactly are artificial intelligence best practices and a need for guidelines.

Agile has fundamentally changed the way we talk about testing. However, something that isn’t discussed as often, yet might be just as critical to the future direction of the industry, is artificial intelligence. In the world of testing, it’s easy to see how AI can be exceptionally useful.

Google released the source code for the images made by artificial intelligence and artificial neural networks, dubbed DeepDream. Everyone, especially programmers and artists, was invited to upload their own images, experiment, and tag their creations as #deepdream on social media.

Artificial intelligence (AI) is a term that's been a part of computer classes for over a decade, but it was merely theory then. The practice of AI is becoming more mainstream today and is certainly the next big thing to watch in the coming years—especially when its applications can benefit users.