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

The Intel AI Lab, which open-sourced a library for natural language processing, plans to open-source more such libraries, to help developers and researchers speed up the process of giving virtual assistants and chatbots functions such as name entity recognition, intent extraction and semantic parsing. With new libraries, these developers can also publish research, train and deploy artificial intelligence and reproduce the latest innovations in the AI community. Intel’s first conference for AI developers was held May 23-24 in San Francisco. Continue reading Intel AI Lab Reveals Plans to Open-Source More NLP Libraries