Displaying 13 resources
Article/Books/eBooks 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.

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

Edge AI trends and engineering principles applied to micro, meta, and end-to-end AI system verification, validation, and testing

Edge AI, which refers to the deployment of edge computing and artificial intelligence (AI) models and algorithms on edge devices like IoT devices and embedded systems, is rapidly evolving with several emerging trends and engineering principles app

Category
Edge-based AI
Target audience
Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

EdgeAI

Develop new electronic components and systems, processing architectures, connectivity, software, algorithms, and middleware through the combination of microelectronics, AI, embedded systems, and edge computing.
Category
Edge-based AI
Target audience
Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Seminar Seminar

Automotive Intelligence - Edge AI, Hardware and Software Integration

The automotive industry faces
unprecedented challenges, such as
climate change, reducing emissions,
global competition, and rapidly evolving
technologies such as digitalisation

Category
Edge-based AI
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Other Other

Shedding light on AI bias with real world examples

Opinion piece by IBM on bias and AI.
Category
Understanding of the fundamental rights and values
Target audience
Individual Citizens/Members of the Society, Private Sector, Public Sector
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering

When deployed, machine-learning (ML) adoption depends on its ability to actually deliver the expected service safely, and to meet user expectations in terms of quality and continuity of service.
Category
Support guidance in the responsible implementation of ADR
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e