Article/Books/eBooks
Human activity recognition in time series in PIR sensor networks with reinforcement learning
Recognizing human activity from IoT events is essential for automatic light scene setting. A challenge with IoT systems is the diversity among customers.
Article/Books/eBooks
EdgeAI: Leveraging SNNs, Transformers, and Autoencoders for Near-Sensors Intelligence
This talk will explore the cutting-edge advancements in EdgeAI for biosignal analysis, focusing on innovative algorithms such as Spiking Neural Networks (SNNs), Transformers, and Autoencoders.
Article/Books/eBooks
Functional and Non-Functional Requirements in Edge Ai Systems
This presentation highlights the critical elements defining edge AI solutions’ performance and effectiveness.
Article/Books/eBooks
Pioneering the Future of Edge AI
In today’s fast-evolving technological landscape, edge AI stands at the forefront of innovation, enabling data processing at the edge, closer to the source of information.
Article/Books/eBooks
At-the-edge AI acceleration on FPGAs, from CNNs to SNNs
This paper outlines the initial FPGA-centric endeavors within the EdgeAI project, targeting scenarios where extremely constrained power-energy parameters intersect with the demand for high performance and accuracy in executing Artificial Intellige
Article/Books/eBooks
Comparing implementations of a Small CNN on Commodity Hardware
Presentation detailing our benchmarking of several low cost boards for AI inference on the Edge.
The NN is a small NN that performs 1 channel images classification over 58 categories targeting an industrial application.