Summit – Learning Center

tinyML Summit 2022: Sensing Applications as a Driver for TinyML Solutions

May 4, 2022 tinyML 1 Comment Applications, DRIVER, Sensing, Solutions, Summit, tinyml

tinyML Summit 2022 Sensing Session Sensing Applications as a Driver for TinyML Solutions Victor PANKRATIUS, Director / Head of Global

Machine Learning

tinyML Summit 2022: Brains into sensors with AI in the Edge

May 4, 2022 tinyML 0 Comments Brains, Edge, Sensors, Summit, tinyml

tinyML Summit 2022 Sensors Session Brains into sensors with AI in the Edge Andrea ONETTI, Executive Vice President, STMicroelectronics AI

Machine Learning

tinyML Summit 2022: Sensors and ML: waking smarter for less

May 4, 2022 tinyML 0 Comments Sensors, Smarter, Summit, tinyml, waking

tinyML Summit 2022 Sensing Session Sensors and ML: waking smarter for less Abbas ATAYA, Director of Machine Learning and Software

Machine Learning

tinyML Summit 2022: EON Tuner: AutoML for constrained devices

May 1, 2022 tinyML 0 Comments AutoML, Constrained, Devices, EON, Summit, tinyml, Tuner

tinyML Summit 2022 tinyML AutoML EON Tuner: AutoML for constrained devices Jan JONGBOOM, CTO, Edge Impulse Finding the best machine

Machine Learning

tinyML Summit 2022: Optimizing AutoML for the tinyML Future

May 1, 2022 tinyML 0 Comments AutoML, Future, Optimizing, Summit, tinyml

tinyML Summit 2022 tinyML AutoML Session Optimizing AutoML for the tinyML Future Elias FALLON, Vice President for Machine Learning, Qeexo

Machine Learning

tinyML Summit 2022: 1 kB and not a bit more! The ideal weight for a tinyML model

May 1, 2022 tinyML 0 Comments bit, Ideal, Model, Summit, tinyml, Weight

tinyML Summit 2022 tinyML AutoML Session 1 kB and not a bit more! The ideal weight for a tinyML model

Machine Learning

tinymL Summit 2022: Model Optimization with QKeras’ Quantization-Aware Training and Vizier’s…

May 1, 2022 tinyML 0 Comments Model, Optimization, QKeras, QuantizationAware, Summit, tinyml, Training, Viziers

tinyML Summit 2022 tinyMl AutoML Session Model Optimization with QKeras’ Quantization-Aware Training and Vizier’s Automatic Neural Architecture Search Daniele MORO,

Machine Learning

tinyML Summit 2022: Automated Machine Learning under model’s deployability on tiny devices

May 1, 2022 tinyML 0 Comments Automated, deployability, Devices, Learning, Machine, models, Summit, Tiny, tinyml

tinyML Summit 2022 tinyMl AutoML Session Automated Machine Learning under model’s deployability on tiny devices Antonio CANDELIERI, Assistant Professor, University