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

Nvidia used processing power and neural networks to create a very convincing virtual city, which will be open for tours by attendees to this year’s NeurIPS AI conference in Montreal. Nvidia’s system, which uses existing videos of scenery and objects to create these interactive environments, also makes it easier for artists to create similar virtual worlds. Nvidia vice president of applied deep learning Bryan Catanzaro said generative models are key to making the process of creating virtual worlds cost effective. Continue reading Nvidia Reveals Use of Neural Networks to Create Virtual City