Microsoft Research Summer Workshop 2018: Machine Learning on Constrained Devices

The following proposals have been selected for participation at the workshop:

1. A language-based approach for implementing performant data processing pipelines in constrained embedded devices: Principal Investigator – Jayaraj Poroor, Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, India.
2. Preventive Maintenance for Distributed Energy Resources: Principal Investigator – Tanuja Garg, Co-Founder & CTO, DataGlen Technologies
3. Low Footprint speech keyword spotting system using ML at the edge: Principal Investigator – Prashant Namekar, Gaia Smart Cities Solutions
4. Deep Learning at Mote Scale: Principal Investigator – Anish Arora, The Ohio State University