Displaying 31 resources
Case studies Case studies
White paper White paper

Application of the ALTAI tool to power grids, railway network and air traffic management

Category
Recommendations towards policy changes, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Standards
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector
Source
Adra-e
Case studies Case studies
White paper White paper

Holistic framework for AI in critical network infrastructures

Category
Action and Interaction Technologies, Systems, methodologies, hardware, and tools, Recommendations towards policy changes, Reasoning and decision-making Technologies, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Standards
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Case studies Case studies
White paper White paper

Socially Informed ML Practices

A series of three posts on “Is data fixable? On the need of socially-informed practices in ML research and education”.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Case studies Case studies
White paper White paper

The Ordinal Nature of Affect: An Emerging Approach

Computational representation of everyday emotional states is a challenging task and, arguably, one of the most fundamental for affective computing.

Category
Recommendations towards policy changes
Source
AI-OnDemand
Case studies Case studies
White paper White paper

Experience Driven Content Generation

Procedural content generation (PCG) is an increasingly important area of technology within modern human-computer interaction (HCI) design.

Category
Data for AI
Source
AI-OnDemand
Case studies Case studies
White paper White paper

Algorithms for manifold learning

The technical report presents popular methods for mapping data into a low-dimensional manifold (nonlinear dimensionality reduction).

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand