Article/Books/eBooks
STRATEGIC RESEARCH & INNOVATION ROADMAP OF TRUSTWORTHY AI
This document is the first version of the Strategic Research and Innovation Roadmap of the TAILOR project, focussed on Trustworthy Artificial Intelligence through Learning, Optimization and Reasoning.
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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.
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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.
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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