Machine Learning
Cruise Simulation with Tom Boyd

Cruise is an autonomous car company with a development cycle that is highly dependent on testing its cars–both in the wild and in simulation. The testing cycle typically requires
Tecton: Machine Learning Platform from Uber with Kevin Stumpf

Machine learning workflows have had a problem for a long time: taking a model from the prototyping step and putting it into production is not an easy task. A data scientist who is
Edge Machine Learning with Zach Shelby

Devices on the edge are becoming more useful with improvements in the machine learning ecosystem. TensorFlow Lite allows machine learning models to run on microcontrollers and other
Rasa: Conversational AI with Tom Bocklisch

Chatbots became widely popular around 2016 with the growth of chat platforms like Slack and voice interfaces such as Amazon Alexa. As chatbots came into use, so did the infrastructure
Snorkel: Training Dataset Management with Braden Hancock

Machine learning models require the use of training data, and that data needs to be labeled. Today, we have high quality data infrastructure tools such as TensorFlow, but we don’t have