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Insurance premiums total more than a trillion dollars in the U.S., and yet, where that money goes is something of a mystery. It certainly doesn’t seem to get invested in the consumer experience, where ancient incumbent companies still process paperwork as if it is the 1800s, and consumers are left wanting for new insurance options […]
The creation and development of a robust neural network is a labor-intensive and time consuming endeavor. That’s why a team of IBM researchers recently developed a way for AI developers to protect their intellectual property. Much like digital watermarking, it embeds information into a network than can then be triggered for identification purposes. If you’ve spent hundreds of hours developing and training AI models, and someone decides to exploit your hard work, IBM’s new technique will allow you to prove that the models are yours. IBM’s method involves embedding specific information within deep learning models and then detecting them by… This story continues at The Next WebOr just read more coverage about: IBM