We held our next tinyML Talks webcast with two presentations: Ehsan Saboori from Deeplite presented Networks within Networks: Novel CNN design space exploration for resource limited devices and Alexander Samuelsson from Imagimob presented How to build advanced hand-gestures using radar and tinyML on November 10, 2020 at 8:00 AM and 8:30 AM Pacific Time.
Ehsan Saboori (left) and Alexander Samuelsson (right)
The push for ultra-low power and low-latency deep learning models, computing hardware, and systems for inference on edge devices continues to create exciting new opportunities for AI in daily life. However, designing such systems can introduce significant overhead in terms of trial & error, domain expertise and engineering challenges, particularly when trying to preserve model accuracy after extreme model compression. In this talk, we introduce a novel, automated method for compressing convolutional neural networks to preserve maximum accuracy on the target application by utilizing a “network within network” paradigm. In this approach we approximate the individual layers within a neural network using smaller neural networks to find highly accurate, highly compact CNN topologies that satisfy strict constraints on model size and acceptable accuracy. We will discuss some results, the implications of this approach for tinyML applications and future developments in the field.
Ehsan Saboori is CTO and co-founder of Deeplite. He obtained his BSc in artificial intelligence and completed his PhD in computer science at Concordia university in 2016. He has been a member of ACM and IEEE associations and published several peer-reviewed conferences and journal papers. With several years of experience working in different companies such as Microsoft, SAP and Morgan Stanley he cofounded Deeplite where he assessed emerging challenges for deep learning and formed the technology vision that became the core of Deeplite.
Imagimob is a pioneer in Edge AI (=TinyML) with experience from 20+ Edge AI customer projects. Customers include Scania, Husqvarna and Flir Systems. The first commercial product using an Imagimob Edge AI application was commercially launched in 2018. This presentation is a case study where we are demonstrating how we developed gesture-controlled headphones using a radar sensor (Acconeer) and Edge AI applications, a concept that was presented at CES 2020 in Las Vegas. The presentation will demonstrate how Imagimob AI (SaaS) is used in the development of the application.
Alexander Samuelsson is the CTO and co-founder at Imagimob. Alex has extensive experience of software development in areas such as mobile apps, mobile games and cloud systems. Previously he studied Computer Science at KTH Royal Institute of Technology.
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