Spring 2019 AI Fellowship
The UnifyID AI Fellowship is a great opportunity for students and researchers to engage in groundbreaking, interdisciplinary research, and investigate relevant questions that have been uncovered through the research and development of UnifyID’s core technologies. These cover a broad set of domains in Security, Machine Learning, Higher Order Signal Processing, Optimization Theory, On-Device ML, Passive-Behavioral Motion Analysis, and last but not least AI Ethics and Journalism in AI. Through time at UnifyID, asking, pondering, and answering; we are looking to fellows for impact not only at UnifyID, but the field as well.
Spring 2019 Fellows:
Sohan Vichare, Neil Movva, Nicholas Roberts, Maya Balakrishnan, Stephanie Tietz, Jenny Hamer, Dian Ang Yap, Joyce Xu, Alexander Wang
Resources: Publications and Presentations
In Proceedings of the Deep Learning Security Workshop (DLSW-2017), Dec 15, 2017 – Singapore, Malaysia.
In Proceedings of the CVPR 2017 CV-COPS workshop, July 21, 2017- Honolulu, Hawaii.
In Proceedings of the ICML Workshop on TinyML: ML on a Test-time Budget for IoT, Mobiles, and Other Applications, August 10, 2017 – Sydney, Australia.
In Proceedings of the ICML Workshop on TinyML: ML on a Test-time Budget for IoT, Mobiles, and Other Applications,10th August, 2017 – Sydney, Australia.
In Proceedings of the CVPR 2017 CV-COPS workshop, July 21, 2017 – Honolulu, Hawaii.
Poster, NVIDIA GPU Technology Conference (GTC-2017), May 8, 2017 – San Jose, California.