ATOS
The DIH4AI project "AI on-demand platform for regional interoperable Digital Innovation Hubs Network" will build a network of AI-on-demand innovation and collaboration platforms, interoperable with the AI-on-demand platform, supporting the joint development and provision of services through a sustainable network of regional AI DIHs and targeting local SMEs and Gov-Tech agencies. DIH4AI is funded by the EU Commission through the Horizon 2020 Programme.
As envisaged in the EC White Paper on AI, by 2025 Europe will lead worldwide in ethical and sustainable adoption of AI. DIHs have become the success factor for European SMEs, leveraging on the DIHs’ Pan-European and Regional networks.
Through the DIH4AI network, research and industry are intensively collaborating to ensure deployment of available state-of-the-art European AI capacities and capabilities.
The network supports joint development and provision of ecosystem-business-technology-transformation services targeting local SMEs and tech governmental agencies.
A dynamic European network of regional AI DIHs and AI Testing and Experimental Facilities (AI TEFs) are connected by the AI-on-demand Platform, through flexible and standard-based interoperability bridges and cross-border services. GDPR and Data Sovereignty will drive the European AI strategy for personal and non-personal Data Sharing Spaces.
The AI-on-demand regional platforms built by DIH4AI are based on an Innovation & Collaboration platform developed in the H2020 European project MIDIH.
The DIH4AI project aims at building and networking DIH-driven AI-on-demand regional platforms, linked to the pan-European AI-on-demand toolbox and experimental facility. DIH4AI will create a critical mass of AI services and seamless operation.
Learn about Open Calls for SMEs offering funding, support programmes and more.
Find out how AI-solutions can be applied across different sectors and what support is offered for implementation of such AI solutions.
Find out how AI-solutions can be applied across different sectors and what support is offered for implementation of such AI solutions. Watch the recording.
This tool helps SMEs find suitable AI Maturity Assessments according to their needs
In the context of EU-funded DIH4AI project, Paris-Region Digihall, DIH Saxony-Anhalt (IFF Fraunhofer Magdeburg) and the Bavaria DIH (Fortiss) joined efforts to connect their respective ecosystems in order to discuss best practices as well as barriers/obst...
Do you find it difficult to operationalize ALTAI assessment in your organizzational context? Perform a guided and tailored ALTAI assessment of your AI solutions leveraging the ICT49 approach
Trust is fundamental in every aspect of our society and especially when dealing with technologies promising more disruptive changes such as Artificial Intelligence. Map your Trustworthy AI services with our Legal-ethical services taxonomy.
Le Data Science & Artificial Intelligence Day revient pour une 6ème édition, le mardi 22 mars 2022, en visioconférence.
Le Hub «Data Science & Artificial Intelligence» du Pôle Systematic organise le 1er atelier «Les PME de l’IA en Ile-de-France». Cet atelier aura lieu en ligne le mardi 8 mars 2022. Moment d’échange entre les PME franciliennes en Intelligence Artificielle...
Le Data Science & Artificial Intelligence Day revient pour une 8ème édition, lors d’une journée complète dédiée à l’IA dans le monde, à sa règlementation ainsi qu’à la vision des membres du Hub DSAI de Systematic pour une IA responsable.
Ethical AI Assessment_Introduction Deck for SME
Nine YouTube video lectures from winter school organized within DIH4AI project by DIH-CIIRC and coorganized by Munich and Saxony-Anhalt DIHs
Powerpoint presentations provided by speakers for the Trustworthy AI webinar on 4 April 2023
Tutorial on the DIGIHALL Platform based on Papyrus for Robotics, for the design of vehicle software architectures and for the validation of behavior-tree based scenarios and autonomous driving policies in CARLA/ROS 2
AI adopters' ecosystem_Pilot video
ARTIFICIAL INTELLIGENCE OPTICAL CHARACTER RECOGNITION FOR CUSTOMS CLEARANCE
This dataset contains hyperspectral images of denim fabric over 224 reflectance bands. It was used to test automated composition analysis in the DIH4AI Open Call 2 FABCOD project (Fabric Composition Detector).
Advanced data-driven techniques for better insight into industrial production processes and their optimization
Semantical production description using OWL ontologies as enabler for semantic matchmaking.
Advanced automated design of simulation models and their use of soft-sensors
Tutorial on the DIGIHALL Platform based on Papyrus for Robotics, for the design of vehicle software architectures and for the validation of behavior-tree based scenarios and autonomous driving policies in CARLA/ROS 2
Workshop to build a renewable energy resource device – namely a Smart Solar Box (SSB).
Testing AI maturity assessment tools with SMEs
In the domains of aeronautics, automotive, energy, manufacturing and retail, Munich Innovation Hub for Applied AI proposes novel solutions to counter the complexity and dependability challenges resulting from distributed accountability, the need for more ...
The AI Engineering Check is our format for the development of AI/ML-enabled products.
Pollution dashboard access to the Anthropogenic Risk Evaluation platform using super resolution
SUPER RESOLUTED SENTINEL DATA WITH ACHIEVED RESOLUTION OF 2.5-3 M PX TO PX
Application access to the Anthropogenic Risk Evaluation platform using super resolution
Dashboard access to the Anthropogenic Risk Evaluation platform using super resolution
SAMPLE OF COTTON 100 DENIM LIKE DATASET
Sample of Denim Elastane HDR files
SAMPLE OF COTTON 100 DENIM LIKE DATASET
EXPERIMENTAL SOLUTION FOR FABRIC COMPOSITION DETECTION DEVELOPED FOR THE CALL FOR PROPOSAL DIH4AI