7.9 KiB
7.9 KiB
file:: wp-7-digital-industry-and-space_horizon-2023-2024_en_1671621228596_0.pdf file-path:: ../assets/wp-7-digital-industry-and-space_horizon-2023-2024_en_1671621228596_0.pdf
- HORIZON-CL4-2023-DATA-01-02: Integration of data life cycle, architectures and standards for complex data cycles and/or human factors, language (AI, data and robotics partnership) (RIA) ls-type:: annotation hl-page:: 180 hl-color:: green id:: 63a2eb22-a909-4fca-8212-843062fb482f
- HORIZON-CL4-2023-DATA-01-04: Cognitive Computing Continuum: Intelligence and automation for more efficient data processing (AI, data and robotics partnership) (RIA) ls-type:: annotation hl-page:: 183 hl-color:: green id:: 63a2eb41-a558-425d-97c2-1676e4ae0401
- HORIZON-CL4-2023-DATA-01-02 RIA 45.00 211 Around 9.00 5 HORIZON-CL4-2023-DATA-01-04 RIA 28.00 212 4.00 to 6.00 6 ls-type:: annotation hl-page:: 179 hl-color:: green id:: 63a2eb70-2632-4b7d-9e8b-351ed99eec79
- process vast volumes data as one of the key enablers for other technological developments, supporting the competitiveness of the EU’s industrial ecosystems; ls-type:: annotation hl-page:: 181 hl-color:: green id:: 63a2eb8b-8f74-4cd9-8752-8e2ca68f85e0
- improve data acce ls-type:: annotation hl-page:: 181 hl-color:: green id:: 63a2eb93-7655-46e7-9faf-f4c5d5325bfa
- data generation/collection to the final use and disposal/deletion of data ls-type:: annotation hl-page:: 181 hl-color:: green id:: 63a2eba8-fae0-4e13-81cc-0ca09d292577
- address relevant human language issues at all stages of data life cycle, addressing the social and cultural factors as necessary ls-type:: annotation hl-page:: 181 hl-color:: green id:: 63a2ebd2-968e-4e0c-8864-9bb5dd6f6841
- Cloud-Edge Continuum ls-type:: annotation hl-page:: 184 hl-color:: blue id:: 63a2ec1a-d1cc-49d4-befe-5aca99cec6b0 hl-stamp:: 1673108849394
- hyper-distributed computing approaches encompassing resources from IoT and far-edge constrained devices ls-type:: annotation hl-page:: 184 hl-color:: blue id:: 63a331c6-8a33-417a-aea7-9838c6a4ef79 hl-stamp:: 1673108865114
- Artificial Intelligence techniques to advance automation and dynamic adaptation of resource management in Cloud and Edge systems, ls-type:: annotation hl-page:: 184 hl-color:: green id:: 63a331d4-bb6f-4a3c-b7db-cfdeef001bf7
- Activities are expected to start at TRL 2 and achieve TRL 5 by the end of the project – ls-type:: annotation hl-page:: 183 hl-color:: green id:: 63a33208-aa3b-46c5-9e02-41c86de40026
- Expected Outcome ls-type:: annotation hl-page:: 183 hl-color:: green id:: 63b93050-72c0-4f01-b547-1608acc0e07c
- Enhanced openness and ope ls-type:: annotation hl-page:: 184 hl-color:: green id:: 63b9307d-4c6b-4c8e-afb7-15376d9afe49
- AI-economies ls-type:: annotation hl-page:: 184 hl-color:: green id:: 63b932cc-c407-407f-adc5-bed3821077f0
- computing continuum ls-type:: annotation hl-page:: 184 hl-color:: green id:: 63b932d1-0015-45e8-9d1f-d491f6a2c5ab
- ey sectors and nurturing European value chains ls-type:: annotation hl-page:: 184 hl-color:: green id:: 63b932df-50cd-446f-acab-4fb2b1881d31
- ccelerate and steer the digital and green transitions ls-type:: annotation hl-page:: 184 hl-color:: green id:: 63b932e4-8ba3-4671-9274-91802e90e46f
- strategic industrial cooperation in data processing ls-type:: annotation hl-page:: 184 hl-color:: green id:: 63b932f2-a4d8-4f64-87ea-d65aaa04dfc7
- open edge ecosystem critical to establishing a mature European supply chain. ls-type:: annotation hl-page:: 184 hl-color:: green id:: 63b93321-d49f-4f27-b542-0a388e4ec775
- adaptive hybrid computing, cognitive clouds and edge intelligence ls-type:: annotation hl-page:: 184 hl-color:: green id:: 63b93336-2520-478c-bd87-e5c6f11cadb3
- ostering competition in the Cloud/Edge services market for the European cloud/edge and software industry and facilitate European access to foreign markets ls-type:: annotation hl-page:: 184 hl-color:: green id:: 63b9334c-4c42-4b14-ae57-094e02f8d8a7
- eamless management schemes to allow services and data to be processed across various providers, connectivity types and network zones ls-type:: annotation hl-page:: 184 hl-color:: blue id:: 63b9335f-c708-4438-be3d-0723f5fe940d hl-stamp:: 1673108852864
- innovative management techniques and computational methods ls-type:: annotation hl-page:: 184 hl-color:: blue id:: 63b9337a-0066-4725-b5f5-d9b3fc6d4651 hl-stamp:: 1673108862552
- autonomous and AI-enabled management schemes and data processing methods ls-type:: annotation hl-page:: 184 hl-color:: blue id:: 63b933d6-15af-4b5e-a043-768ebb8d6c65 hl-stamp:: 1673108869881
- compute continuum ls-type:: annotation hl-page:: 184 hl-color:: green id:: 63b933dd-cd17-4c69-be85-c40816a21c0a
- trong capacities at the edge and fog/IoT edge in an energy efficient and trustworthy manner ls-type:: annotation hl-page:: 184 hl-color:: blue id:: 63b933e3-8412-4237-967d-6172d399ee8b hl-stamp:: 1673108877212
- Intelligent compute, data and code orchestration mechanisms need to be integrated, which allow efficient value extraction from the huge volumes of generated data at the edge of the network and which support unprecedented levels of resource dynamicity and scalability across the compute continuum. ls-type:: annotation hl-page:: 184 hl-color:: blue id:: 63b93408-f7b5-49e3-8882-3280e59a0e98 hl-stamp:: 1673108879220
- cooperation is encouraged, especially with Japan and S. Korea. ls-type:: annotation hl-page:: 185 hl-color:: blue id:: 63b93421-dbad-4101-b496-2346df7e3827 hl-stamp:: 1673108917295
- Exptected novel contributions
id:: 63b934ef-c941-42ae-a61c-d0694db9243f
- automated management tools ls-type:: annotation hl-page:: 184 hl-color:: blue id:: 63b934a2-1c53-4952-a77b-76f4e1f5c149 hl-stamp:: 1673108888188
- programming models ls-type:: annotation hl-page:: 184 hl-color:: blue id:: 63b934a6-17c0-4a0e-aa4e-668126d27223 hl-stamp:: 1673108889588
- learning and decision-making methods
ls-type:: annotation
hl-page:: 184
hl-color:: blue
id:: 63b934a9-8449-41d6-81d6-be564d4c3183
hl-stamp:: 1673108891892
- For learning, methods need to be able to deliver a solution to (continuous) federated learning from data distributed over the edge and in the network. ls-type:: annotation hl-page:: 184 hl-color:: green id:: 63b935fc-1fa3-46bd-9dd6-cd3591747897
- approaches able to cope with end-to-end security and identity management
ls-type:: annotation
hl-page:: 184
hl-color:: blue
id:: 63b935a7-4ad4-4015-b03a-a500ec9cd1b6
hl-stamp:: 1673108893612
- For security and identity management, proposals are expected to apply state-ofthe-art technologies, develop synergies and relate to activities and outcomes in Cluster 3(namely, HORIZON-CL3-2023-CS-01-01: Secure Computing Continuum ls-type:: annotation hl-page:: 184 hl-color:: green id:: 63b93653-634f-443f-955a-f10919d10d07
- resources heterogeneity ls-type:: annotation hl-page:: 184 hl-color:: blue id:: 63b935b1-843b-4110-aafa-06e17ad680d9 hl-stamp:: 1673108896562
- extreme scale and fault-tolerance ls-type:: annotation hl-page:: 184 hl-color:: blue id:: 63b935bb-dd46-4a49-bdda-253a28571b58 hl-stamp:: 1673108895127
- elasticity to flexibly allocate resources and tasks ls-type:: annotation hl-page:: 184 hl-color:: blue id:: 63b935c5-2919-410c-929f-6aab1ec3a9e3 hl-stamp:: 1673108899019
- Resource heterogeneity ls-type:: annotation hl-page:: 185 hl-color:: blue id:: 63b99da8-8fda-4393-a0fa-284638eba110
- optimisation of energy efficiency and ecological sustainability ls-type:: annotation hl-page:: 185 hl-color:: blue id:: 63b99daf-fa2a-4f34-bc99-1bcfbffbaef3