Displaying 37 resources
Professional development resources for teachers/educators Professional development resources for teachers/educators
Software resources Software resources

Brisk Teaching: Free AI Tools for Teachers

A Chrome and Edge extension that assists teachers with curriculum development, feedback generation, and differentiation. Brisk ensures student-safe AI usage and provides real-time visibility into its application in classrooms.

Category
Sensing and processing methods, Systems, methodologies, hardware, and tools, Support tools, Technology methodologies and landscape, Validation processes and modularity standards
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e
Online Course Online Course
Video/Webinars Video/Webinars

AI for Education

Offers a comprehensive library of free resources to help integrate Generative AI into educational settings.

Category
Multi-modal interaction, AI platform for deployment, Trustworthiness, Technology methodologies and landscape
Target audience
Individual Citizens/Members of the Society, Policy Makers
Source
Adra-e
Case studies Case studies

Digital environment – Version 1.0

This is deliverable 1.2 of the AI4REALNET project.

Category
human-centric ai, public reports, Action and Interaction Technologies, Experiment and Deployment, Reasoning and decision-making Technologies
Target audience
ADR Experts and Associations, professionals, Researchers and Academic
Source
Adra-e
Case studies Case studies

AI fundamental blocks – beta release

This is the deliverable 2.2 of the AI4REALNET project. This work package objective consists on developing the AI fundamental blocks for augmented decision-making, namely novel AI algorithms for large-scale sequential decision-making problems.

Category
human-centric ai, public reports, Action and Interaction Technologies, Data for AI, Experiment and Deployment, Reasoning and decision-making Technologies
Target audience
ADR Experts and Associations, professionals, Researchers and Academic
Source
Adra-e

X-ray Anomaly Detection in Industrial Pipelines

As Deep Neural Network (DNN)-based algorithms are improving, pivotal changes are happening towards efficient and effective automation in the field of industrial inspection.
Category
ai core modules
Source
AI-OnDemand

Foreground-Aware Knowledge Distillation for Enhanced Damage Detection

Damage detection remains a critical challenge, especially within the industrial automation sector, necessitating the development of advanced inspection technologies and their potential applications.
Category
ai core modules
Source
AI-OnDemand