Developing TinyML Applications for the Real-World


Details
Open to anyone! (Not just makespace members)
Developing TinyML Applications for the Real-World
Join the hosts Alessandro Grande, Director of Product at Edge Impulse and Dominic Binks, VP Technology at Audio Analytic for an introduction to TinyML alongside some of the most interesting use cases.
After a year of successful online sessions, this is the first in-person event in the UK. The tinyML UK chapter has been built on the successes of the tinyML meetup groups in the US and around the world, offering the opportunity for members of the machine learning and embedded software communities to share ideas and network.
What is the purpose?
To spread the word and educate the industry on "tinyML" (broadly defined as machine learning architectures, devices, techniques, tools and approaches capable of performing on-device analytics for a variety of sensing modalities--vision, audio, motion, environmental, human health monitoring etc.) at “mW” or below power range targeting predominately battery operated devices. The tinyML meetup group is an informal monthly gathering of researchers and practitioners working on various aspects of machine learning technologies (hardware-algorithms/networks- software-application) at the extreme low-power regime to share latest developments in this fast growing field and promote collaborations throughout the ecosystem. The format will be presentations with Q&A followed by networking.
Who should join?
Experts in machine learning technologies at the edge, especially in the low power battery operated regime. This includes hardware architects, software engineers, systems engineers, ASIC designers, algorithms and application developers, low power sensor providers and end users. “Newbees”, i.e. people interested in joining this field and getting up to speed by listening to state-of-the-art presentations and interacting with established players are very welcome to join too, both from the industry and the academia.

Developing TinyML Applications for the Real-World