Starts 13 Oct 2020 16:00
Ends 13 Oct 2020 18:00
Central European Time
Search
Search in Conferences:
ICTP QLS-AP Colloquium AI / How TinyML Could Help Developing Countries
Zoom meeting
Zoom webinar. When: Oct 13, 2020 04:00 PM Rome Topic: AI colloquia Register in advance for this webinar:
https://zoom.us/webinar/register/WN_qidXVl5URkKbG5kJUAMB0A
After registering, you will receive a confirmation email containing information about joining the webinar.
Should you not be able to join the Webinar, the Colloquium is also available in live streaming at:
http://ictp.it/livestream
Abstract
Machine learning on embedded hardware is a new field that's only beginning to be used in the developed world, but it has some characteristics that may make it particularly appropriate for developing countries. The hardware and software required to train students, advance research, and build products is much cheaper than the equivalents for Cloud ML, and since the devices don't need reliable network or even mains power connections, they can be deployed almost anywhere. Pete Warden is the Technical Lead of the TensorFlow Micro open source project from Google, and has previously helped projects like Plant Village use on-device deep learning in West Africa. In this talk he'll introduce some of the possibilities that edge compute opens up for the world outside the West, and will be looking to learn from the audience what problems in their domains it might be applicable to.
https://zoom.us/webinar/register/WN_qidXVl5URkKbG5kJUAMB0A
After registering, you will receive a confirmation email containing information about joining the webinar.
Should you not be able to join the Webinar, the Colloquium is also available in live streaming at:
http://ictp.it/livestream
Abstract
Machine learning on embedded hardware is a new field that's only beginning to be used in the developed world, but it has some characteristics that may make it particularly appropriate for developing countries. The hardware and software required to train students, advance research, and build products is much cheaper than the equivalents for Cloud ML, and since the devices don't need reliable network or even mains power connections, they can be deployed almost anywhere. Pete Warden is the Technical Lead of the TensorFlow Micro open source project from Google, and has previously helped projects like Plant Village use on-device deep learning in West Africa. In this talk he'll introduce some of the possibilities that edge compute opens up for the world outside the West, and will be looking to learn from the audience what problems in their domains it might be applicable to.