Do you want to be more involved in the work we’re doing with EVE? We invite you to follow us on Facebook, Instagram, and Twitter! We’ll be posting updates, photos, and videos of the work we are doing with EVE. We’d love to hear your thoughts on EVE: what you hope from her, what you want … More EVE on Social Media
We are EVE, a team of researchers from the Brigham Young University Perception, Control, and Cognition Laboratory, and one of eight university teams tasked with the challenge to create a conversational AI system for Amazon’s Alexa. … More We are EVE
What is EVE? Eve is a conversational AI system designed to function with Amazon’s Alexa. Unlike most Alexa skills, EVE can participate in free-form discussion on a wide variety of topics. How well can EVE converse? Right now, not very well. We started this project a few weeks ago, and are still putting the code infrastructure … More EVE FAQ
In our machine learning lab, we’ve accumulated tens of thousands of training hours across numerous high-powered machines. The computers weren’t the only ones to learn a lot in the process, though: we ourselves have made a lot of mistakes and fixed a lot of bugs. Here we present some practical tips for training deep neural … More Practical Advice for Building Deep Neural Networks
Our work for the International Joint Conference on Artificial Intelligence (Australia, 2017) was picked up by a number of media outlets. Read some of our favorites. … More What Can You Do with a Rock?
The physical world is filled with constraints. You can open a door, but only if it isn’t locked. You can douse a fire, but only if a fire is present. Research in our laboratory shows that this common-sense knowledge can be encapsulated in word vectors and used to improve agent performance on linguistic reasoning tasks. … More Vectors for Common-sense Reasoning
If you knew what I was going to do next, how would your actions change?
Theory of mind describes an agent’s ability to model the intents, beliefs or desires of others – A difficult task because the agent’s mental state is hidden and can only be approximated using observations. This process produces high levels of uncertainty. … More Robots that Know What You’re Thinking