IBM Releases Open Source AI Security Tool
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IBM releases Adversarial Robustness Toolbox, an open source software library designed to help researchers and developers secure artificial intelligence (AI) systems
Source: securityweek.com

IBM releases Adversarial Robustness Toolbox, an open source software library designed to help researchers and developers secure artificial intelligence (AI) systems
Source: securityweek.com
In the quest to create intelligent robots, designers tend to focus on purely rational, cognitive capacities. It’s tempting to disregard emotion entirely, or include only as much as necessary. But without emotion to help determine the personal significance of objects and actions, I doubt that true intelligence can exist – not the kind that beats human opponents at chess or the game of Go, but the sort of smarts that we humans recognise as such.
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As detailed in a paper published to arXiv, the neural net is actually a generative adversarial network (GAN), which is a way of training a machine learning algorithm without human supervision. In GANs, two neural nets are pitted against one another: One neural net generates new images and tries to trick the other neural net into thinking the images are real. If the other neural net is able to tell the generated images are false
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Regression techniques are one of the most popular statistical techniques used for predictive modeling and data mining tasks. On average, analytics professionals know only 2-3 types of regression which are commonly used in real world. They are linear and logistic regression.
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