Error correcting codes for robust, secure deep neural networks

— Technology Description

Researchers in Prof. Netanel Raviv’s laboratory have developed a provable error correcting code (ECC) system that could guarantee deep neural networks (DNN) are resilient to noise for robust, secure and private neural computation. This technology could be deployed in n…

Artificial Materials with Enhanced Nonlinearity

— Background: Advances in nonlinear materials give rise to a multitude of optical phenomena that have important applications as switches and modulators in telecommunications and optical computing industry. The degree of optical nonlinearity in a material depends upon the strength of the optical field…

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