Nasdaq and Intel have partnered to advance homomorphic encryption (HE), which allows AI and machine learning computations on data without having to decrypt it. Nasdaq will adopt HE to be used with Intel’s latest processors. Intel is also exploring the encryption technology with the Defense Department’s DARPA. Nasdaq’s exploration of HE in a business setting is aimed to lead to tools that can focus on preventing fraud and money laundering. Healthcare is another field that is expected to benefit from HE. Continue reading Nasdaq, Intel Team on Homomorphic Encryption in the Cloud

Intel revealed that it has made progress in an anonymized, encrypted method of model training. Industries such as healthcare that need a way to use AI tools on sensitive, personally identifiable information have been waiting for just such a capability. At the NeurIPS 2018 conference in Montreal, Intel showed off its open-sourced HE-Transformer that works as a backend to its nGraph neural network compiler, allowing AI models to work on encrypted data. HE-Transformer is also based on a Microsoft Research encryption library. Continue reading Intel Describes Tool to Train AI Models with Encrypted Data