To spread the word and educate the industry on embedded intelligence at the edge. This meetup group is an informal monthly gathering of researchers and practitioners working on various aspects of machine learning technologies performing on-device analytics for a variety of sensing modalities--vision, audio, motion, environmental, human health monitoring etc.) at low power battery operated devices 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 filed and getting up to speed by listening start-of-the-art presentations and interacting with established players are very welcome to join too, both from the industry and the academia.
• What will you do at your events?
Communicate to the attendees the “latest and greatest” on embedded intelligence at the edge by watching a presentation from an embedded AI expert from the industry or the academia and networking with the member of Data Science for tiny machines at the edge Community.