AI4EU WebCafé: Energy-efficient AI, a perspective from the LEGaTO project
LEGaTO work on AI, particularly the smart home and machine learning use cases, is discussed by Osman Unsal (BSC), Pirah Noor Soomro (Chalmers University of Technology), Nils Kucza (University of Bielefeld) and Hans Salomonsson (Machine Intelligence Sweden) in a AI4EU Web Café on Wednesday 28 October 2020, 3.00-4.00 pm.
Slides of the presentations are available on the links below:
- LEGaTO: Low-Energy Heterogeneous Computing Use of AI in the project, by Osman Unsal and Pirah Noor Soomro
- Smart Home AI at the edge, by Nils Kucza
- LEGaTO: Machine Learning Use Case, by Hans Salomonsson