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AI & Accuracy: How to Keep Systems Honest

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Earlier this year, Stanford and Google found that a machine learning agent designed to transform aerial images into street maps and back was cheating . Turns out it was hiding information it would later need in an almost undetectable high-frequency signal that developers didn't immediately catch, and was only suspected because the results seemed a ...
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Using Machine Learning to Detect Anomalies in Performance Engineering

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We depend on large scale systems. Google, Facebook, and Amazon are just a few examples of data centers made up of thousands of machines running complex software applications. Making sure they run smoothly requires high availability, responsiveness, and close monitoring—a task that's become even more critical in recent years. With the processing for...
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Fueling Business Growth and Innovation with AI Technology

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"The vast majority of respondents to a recent survey say data is the foundation for making optimal business decisions, delivering better results for customers, and growing their business." Without a doubt, business leaders are aware of the value of using data insights to drive growth and improve efficiencies. MIT Technology Review Insights and Pure...
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How Next Level Automation Will Shape DevOps for the Better

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By definition, DevOps is a cross-team, collaborative approach to the software development process focused on continuous deployment and automation. It allows for faster development through the use of tools, processes, and the removal of siloed teams. It is one of the best answers to modern software development, especially when companies and consumer...
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