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artificial intelligence

Robot doing a hand signal 4 Advantages of Applying AI in Software Testing

We’re always looking for smarter, faster, better ways of testing. As the popularity of artificial intelligence grows, more and more testers are realizing its capacity to make cumbersome and time-consuming tasks simpler. AI is coming, so we should take advantage of it. Here are four benefits to applying AI in testing.

Ester Brierley's picture
Ester Brierley
Doctor in a laboratory looking at a slide FDA Explores Review Framework for AI-Based Medical Devices

As more medical devices are developed that employ artificial intelligence and machine learning software that can learn from real-world feedback and adaptation, the FDA announced it is taking steps to explore a new medical device regulatory framework. The goal is creating safe, beneficial, innovative medical products.

Pamela Rentz's picture
Pamela Rentz
Greenpeace sticker saying "Planet Earth first" Using AI to Protect the Earth’s Species

In addition to the many ways artificial intelligence and machine learning technologies are changing our everyday life, can they also help save our world? To safeguard the lives of millions of species in our world today, the campaign for Earth Day 2019 is “Protect Our Species,” and AI is already having an impact.

Pamela Rentz's picture
Pamela Rentz
Human-like robot with artificial intelligence The AI Testing Singularity

Machine learning is rapidly growing more powerful, already sometimes imitating the actions and judgments of humans better than humans. In the near future, even before machines are conscious, they will be able to mimic human software testers. What will be the impact of AI on testing? Jason Arbon has a bunch of ideas.

Jason Arbon's picture
Jason Arbon
Robot playing a piano Robotic Process Automation in Software Testing

Robotic process automation (RPA) systems develop a list of actions to automate a task by watching a user perform that task in the application's GUI, and then repeating those tasks directly in the GUI. But RPA tools differ from other tools because they can handle data among multiple applications—including for testing.

Mukesh Sharma's picture
Mukesh Sharma
Developing Artificial Intelligence Systems for Dynamic Environments

From navigating unfamiliar terrain and dangerous weather conditions to working in risky situations, AI could be of enormous aid to first responders and the military if AI systems could react appropriately when something significant and unexpected occurs, without needing to be retrained on a large data set.

Pamela Rentz's picture
Pamela Rentz
summit supercomputer World’s Fastest Supercomputer Summit Is Ready

Acceptance testing is complete, and selected users are starting to tackle the most complex of science problems on the 200-petaflop IBM AC922 Summit supercomputer. Summit enables scientists to explore new territory and uncover insights by applying artificial intelligence algorithms.

Pamela Rentz's picture
Pamela Rentz
People applauding near a medal saying "2018" Top 10 TechWell Insights Stories of 2018

Many teams are embracing new practices, and several of last year's most-read stories reflect that, with topics such as AI, DevOps, and continuous testing. But it looks like lots of teams also want to get back to basics, because guides to tried-and-true agile and testing methods also ranked high. Check out the roundup.

Beth Romanik's picture
Beth Romanik