artificial intelligence
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Narrow versus Strong AI: The Future of Artificial Intelligence Artificial intelligence is one of the fastest growing fields in technology, but there’s still a lot of uncertainty surrounding what truly qualifies as AI, the different types of AI, and how quickly AI is advancing. How do we differentiate AI that updates us on today’s weather from AI that can think and act on its own? |
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The Present and Future of AI: A Slack Takeover with Raj Subramanian Thought leaders from the software community are taking over the TechWell Hub to answer questions and engage in conversations. Raj Subramanian, who works with self-healing, AI-based test automation, hosted this Slack takeover to discuss all aspects of AI: testing it, its biases, where it is now, and where it's going. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
