Lightning talks — Impact driven AI Applications (Part 2)

Friday, May 26, 2017 - 12:30
University of San Francisco Seminar Series in Analytics
San Francisco

Deep learning practitioners came together to discuss various domains, what are some high impact problems solvable through AI and how do we solve them.

Sravya Tirukkovalur shares why now might be the best time to be a developer, especially in Deep learning and how it is possible ever than before to chose the right problems which have a direct social impact. She talks about - A hands on think tank to explore and build Deep learning applications for greater good. And she shares details about the first project where the team is using satellite imagery to assess structural damage after an earthquake, speeding up a critical piece in the relief coordination.

Brookie Guzder-Williams talks about "Forma 250: Near real-time detection of tree cover loss through satellite imagery"

Sahil Singla speaks about how FarmGuide is digitizing and solving the information asymmetry problem in Agriculture, the biggest yet loss-making industry in India.

Xinxin works with Xeed, a wearable technology company, to develop a system for Parkinson’s patient therapy management. She speaks about her work on applying deep learning to Parkinson's disease therapeutic research, the core of which is a machine learning model trained with clinical studies data. This new system would enable a doctor to gauge patients’ symptoms, such as tremors and dyskinetic, via sensor data collected out of the clinic, rather than relying on written diaries or interviews with patient caregivers.


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