Displaying 16 resources
Professional development resources for teachers/educators Professional development resources for teachers/educators
Software resources Software resources
White paper White paper

Oratione

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Negat esse eam, inquit, propter se expetendam. Primum Theophrasti, Strato, physicum se voluit; Id mihi magnum videtur.

Category
Real-time context aware decision making, Data processing technologies, Multistakeholder dialogue
Target audience
Individual Citizens/Members of the Society, professionals, Researchers and Academic
Source
Adra-e
Article/Books/eBooks 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.

Category
Edge-based AI, Architecture of sensing and perception systems
Target audience
Researchers and Academic
Source
Adra-e
Article/Books/eBooks 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.

Category
Edge-based AI
Target audience
Researchers and Academic
Source
Adra-e
Article/Books/eBooks 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.

Category
Edge-based AI
Target audience
Researchers and Academic
Source
Adra-e
Article/Books/eBooks 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.

Category
Edge-based AI
Target audience
Researchers and Academic
Source
Adra-e
Article/Books/eBooks 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

Category
Edge-based AI
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Private Sector, Researchers and Academic
Source
Adra-e