BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH BEGIN:VEVENT ORGANIZER:MAILTO: DTSTART:20200212T120000Z DTEND:20200213T130000Z LOCATION:San Jose, California SUMMARY:TinyML Summit DESCRIPTION;ENCODING=QUOTED-PRINTABLE:Following the success of the inaugural tinyML Summit 2019 , the tinyML committee invites low power machine learning experts from the industry, academia, start-ups and government labs from all over the Globe to join the tinyML Summit 2020 to share the “latest & greatest” in the field and to collectively drive the whole ecosystem forward. \n At this year's event, our ML Researchers will be presenting their work as part of the poster session: \n \n Igor Fedorov - SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers \n Urmish Thakker - Improving accuracy of neural networks compressed using fixed structures via doping \n Dibakar Gope - Aggressive Compression of MobileNets Using Hybrid Ternary Layers X-ALT-DESC;FMTTYPE=text/html:

Following the success of the inaugural tinyML Summit 2019, the tinyML committee invites low power machine learning experts from the industry, academia, start-ups and government labs from all over the Globe to join the tinyML Summit 2020 to share the “latest & greatest” in the field and to collectively drive the whole ecosystem forward.

At this year's event, our ML Researchers will be presenting their work as part of the poster session:

Igor Fedorov - SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
Urmish Thakker - Improving accuracy of neural networks compressed using fixed structures via doping
Dibakar Gope - Aggressive Compression of MobileNets Using Hybrid Ternary Layers

CLASS:PUBLIC END:VEVENT END:VCALENDAR