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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Atlanta, GA | Posted: November 9, 2018
Allie McFadden
Communications Officer
allie.mcfadden@cc.gatech.edu
Summary Sentence:
Georgia Tech professors awarded NSF grant to study the feasibility of combining the power of the human brain and machine learning techniques.
Full Summary:
No summary paragraph submitted.
The grant will allow researchers to study the feasibility of combining the power of the human brain and machine learning techniques.Machine Learning Center at Georgia Tech Professors Raghupathy Sivakumar and Faramarz Fekri have been awarded a $500,000 grant from the National Science Foundation (NSF) to study the feasibility of combining the power of the human brain and machine learning techniques.
The award comes from the NSF’s Cyber-Physical Systems program and will support Sivakumar and Fekri’s project titled CPS: Small: Multi-Human Assisted Learning for Multi-Agent Systems using Intrinsically Generated Event-Related EEG Potentials.
Machine learning solutions are particularly useful for monitoring, instrumenting, and optimizing complex cyber-physical systems (CPS). Supervised or controlled by computer-based algorithms, CPS’s include things like autonomous cars, smart grids, and automatic pilot avionics. However, these systems still need human help recognizing natural speech patterns and complex scenes or images.
Sivakumar and Fekri’s goal is to allow humans to assist with machine learning algorithms in this environment. Their approach uses a human-in-the-loop model. Using electroencephalogram (EEG), the team hopes to use human brain wave activity to help speed up the learning process for the algorithms that power CPS’s.
The results of the research will be evaluated using both game proxy-based analysis and experimental analysis within the context of real-world CPS.
The team’s award runs for three years beginning in January 2019. The team hopes to explore commercialization of the outcomes of the research in collaboration with Georgia Tech’s CREATE-X and Venture Lab programs.
