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Featured Projects

Algorithmic and Historical Detection Patterns of Music

Lab:

The algorithmic detection of subcultural or niche taste trends is of growing importance in targeted advertising. This demonstration presents research using online music analysis tools from Spotify, Musicbrainz, and Rovi coupled with aggregated music listening behavior from Facebook users to detect individual tastes and emerging taste trends amongst social groups. This research is presented alongside historical signifiers of music taste such as fashion, music collections, and subcultural knowledge.

Getting it Right the First Time: Guarantees of Robot Behavior

Lab:

Mobile Robot Laboratory

Robotics has been considered as one of the five key technology areas for defense against attacks with weapons of mass destruction (WMD). However, due to the mass impact nature of WMD, failures of counter-WMD (C-WMD) missions can have catastrophic consequences. To ensure robots' success in carrying out C-WMD missions, we have developed a novel verification framework in providing performance guarantees for behavior-based and probabilistic robot algorithms in complex real-world environments. We cannot assume the luxury of a do-over; we must get it right the first time.

Visualizing Community Health

Lab:

TanDEm

There is a scarcity of trained healthcare professionals in India. Further, the current approach to healthcare delivery in India is symptom-driven and fails to address the underlying causes of disease which may be a result of the local socioeconomic, cultural, gender, environmental, or infrastructural situation. Chitra is a mobile platform that empowers community health workers to fill this gap between government healthcare delivery and patients' lived realities.

Upcoming Events

Feb 27

IPaT Thursday Think Tank: Small Bets Seed Grant Workshop

Join us for the IPaT Thursday Think Tank on February 27 to meet potential Small Bets collaborators and explore project ideas.
Feb 27

Predicting Psychosis and Neurogenerative Diseases from Speech: A Machine Learning Approach

Dr. Phillip Wolff (Professor of Psychology at Emory University) uses machine learning to predict a person's mental health status from the speech and text that they produce.
Mar 5

Revisiting the evidence for a critical period in second language acquisition: Why variability matters

Dr. David Birdsong of the University of Texas at Austin explores why different individuals achieve such wildly different levels of proficiency in studying a second language.

All GVU Events

GVU News

Changing the Conversation: Georgia Tech Researchers Provide New Approach to Automated Story Generation

Research from Georgia Tech’s School of Interactive Computing provides a novel approach that improves the combination of automated story generation with natural language.
Jill Watson Team Reaches Semifinals in IBM AI XPrize Competition

Jill Watson – Georgia Tech’s AI designed explicitly for answering student questions about specific courses - was named as one of 10 semifinalists in IBM’s AI XPrize competition.
Why asking an AI to explain itself can make things worse

MIT Technology Review, Jan 30, 2020