Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they're like optical illusions for machines. In this post we'll show how adversarial examples work across differen... (more…)
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This post is part of a series about machine learning and artificial intelligence. Click on the blog tag “huskyai” to see related posts. (more…)
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This article explains quantum machine learning for beginners, a promising field that applies quantum computing to machine learning and deep learning. (more…)
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Posted by Łukasz Kaiser, Senior Research Scientist, Google Brain Team and Aidan N. Gomez, Researcher, Department of Computer Science Machine... (more…)
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Every test that’s done on a computer means one less animal caged and experimented on, and that’s something that every animal advocate should celebrate. (more…)
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