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machine learning

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
kiwi bird Saving Birdsong: Using Machine Learning to Monitor Kiwi Birds and Possums

In an attempt to turn birdsong and predator monitoring into data that can help improve pest trapping ability, the Cacophony Project is an open-source conservation project employing technologies such as embedded systems, web applications, backend services, and machine learning pipelines.

Pamela Rentz's picture
Pamela Rentz
Humanoid robot photo by Alex Knight What’s Our Job When the Machines Do Testing?

It’s a safe bet that testing jobs won't be taken over by machines anytime soon. However, those of us in the test industry would be wise to heed cross-industry applications of analytics and machine learning and begin staking out the proper role of the machine in our testing domain. What could AI mean for testing?

Geoff Meyer's picture
Geoff Meyer
Binoculars over cityscape Keeping Your Software Testing Abilities Relevant Today, Tomorrow, and Beyond

Development and product teams have embraced agile and DevOps. What can testers do to keep up with their development peers? Here are some ideas about what testers can learn, what skills we can add, and what processes we can start doing in order to continue delivering quality today, tomorrow, and further into the future.

Sunil Sehgal's picture
Sunil Sehgal
Watson helping with taxes at H&R Block IBM’s Watson Will Help You File Your Taxes at H&R Block

Customers at H&R Block will be able to get tax advice from IBM’s famous supercomputer, Watson. Watson has been fed all 74,000 pages of the US tax code and will use its natural language processing to interact with clients in order to answer questions, uncover deductions and credits, and help calculate refunds.

Beth Romanik's picture
Beth Romanik