AI on the EDGE - Deep Learning with Low-Power GPU and IoT Devices
Location of Research: Hybrid (both Remote and On Site)
Research with low power portable computing devices for data acquisition and AI-based processing. Applications in smart cities and healthcare. Hands-on experiments with NVIDIA Jetson Nano, Google Coral, Intel Neural Compute Stick. Sharing computational load with edge-cloud compute and data servers. Measurement of latencies and exploration of real time capabilities and constraints.
Name of Lab: ZKLAB
Dates: 5/17/2021 - 8/13/2021
Direct Supervisor: Zoran Kostic
Paid: Yes
Credit: Yes
Hours per week: 20
Number of positions: 2
Qualifications/skill-set: Signal Processing, Video Processing, Data Analysis, Software Development, some Machine Learning and Deep Learning.
