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Choosing the Right Tools for the Job The saying “If all you have is a hammer, everything looks like a nail” summarizes a cognitive bias we have to use tools that are most familiar to us, even if they are the wrong tools for the job. Software professionals often fall into this trap. Here are some tips on how to choose the right tools for your projects. |
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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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Continuous Security in Agile Development "Continuous" gets mentioned a lot in agile and DevOps, but one area that often doesn’t get enough attention is how to continuously build, test, and deliver secure applications. Just like for quality, you can’t test security in, so you need to have a plan for how to build it in. Here are some tips on how to do that. |
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NSA Adds to Open Source Tools and Tech Transfer Program The National Security Agency recently released several of the agency’s software tools as open source and added new technologies to the NSA technology transfer program patent portfolio that are ready for licensing. Could leveraging any of these technologies help your efforts? |
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The Developer’s Role in Testing and Quality Of course a developer's primary job is to produce good code, but there's also a lot they can do to contribute to quality and test their code before it gets to a tester. Code quality techniques help developers write better code, more thoroughly understand their changes, and avoid builds with many easy-to-find problems. |
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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. |
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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. |