Georgia Institute of Technology researchers, in collaboration with Cornell and University of Kentucky, have developed an artificially intelligent (AI) agent that can automatically generate natural language explanations in real-time to convey the motivations behind its actions. The work is designed to give humans engaging with AI agents or robots confidence that the agent is performing the task correctly and can explain a mistake or errant behavior.
In 2015, the IMAGINE Lab, part of the Center for Spatial Planning Analytics and Visualization at Georgia Tech, was tasked by stakeholders at the institute to create a pilot project for a quick visual tool for planning the future Coda building.
A new login authentication approach could improve the security of current biometric techniques that rely on video or images of users’ faces. Known as Real-Time Captcha, the technique uses a unique challenge that’s easy for humans — but difficult for attackers who may be using machine learning and image generation software to spoof legitimate users.
ML@GT and the School of Computational Science and Engineering invite you to a seminar by Dan Roth, Eduardo D. Glandt Distinguished Professor at the Department of Computer and Information Science at the University of Pennsylvania.