Salesforce is open sourcing the machine learning technology behind its Einstein AI platform. Branded TransmogrifAI, the AutoML library is less than 10 lines of Scala code written on top of Apache Spark, and can be used by developers looking to train machine learning models to predict customer behaviour without having to use a large data set for training. "It was developed with a focus on accelerating machine learning developer productivity through machine learning automation, and an API that enforces compile-time type-safety, modularity, and reuse. Through automation, it achieves accuracies close to hand-tuned models with almost 100x reduction in time," it states on its website. In a lengthy Medium post last week, Shubha Nabar, senior director of data science on the Salesforce Einstein team wrote: "Three years ago when we set out to build machine learning capabilities into the Salesforce platform, we learned that building enterprise-scale machine learning systems is even harder."

It's 2018, and Waymo is doing it live. Two months after the Alphabet self-driving car spinoff announced it would start running a truly driver-free service in Phoenix this year (as in, cars romping about with no one at the wheel), the company now unveils how it will do it: with the help of thousands more Chrysler Pacifica hybrids. The vehicles, built by Fiat Chrysler in Canada, will eventually make their way to the cities where Waymo is currently testing driverless tech. Waymo already uses 600 of the minivans to test its driverless software. The details are a bit sketchy.