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Request date Organisation name Country Search type Topic Link
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Ayuntamiento de Benetússer Spain Expertise Request Complementary SNS experimental Pan-EU federated Infrastructure (HORIZON-JU-SNS-2023-STREAM-C-01-01) F&T portal
Benetússer Town Council, which belongs to the metropolitan area of Valencia, has its own department of European projects. We work transversally with the different areas in the Town Council, such as equality, youth, participation, education, environment, urbanism, employment and development, among others, as well as with the civic organizations of the metropolitan area. We can add value and help increase the quality of European projects. If you are interested, contact zafon_mar@benetusser.net
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 Sima Sinaei Vatican City Expertise Request Piloting emerging Smart IoT Platforms and decentralized intelligence (IA) (HORIZON-CL4-2024-DATA-01-03) F&T portal
Distributed Artificial Intelligence Systems -
Federated learning: Federated Learning (FL) is a distributed machine learning approach that enables devices in the computing continuum to collaboratively learn a shared model while keeping data locally. FL can be used to optimise the performance of AI models by leveraging data from across the continuum, while still ensuring data privacy by not sharing raw data. Techniques that shall be explored include stochastic gradient descent.
05/04/2023 NUROMEDIA GMBH Germany Expertise Request Coordination of the European software-defined vehicle platform (CSA) (HORIZON-KDT-JU-2023-3-CSA-TOPIC-3) F&T portal
Nuromedia GmbH is a German software engineering & multimedia company with more than 15 years of experience in national and EU funded projects. Our team offers competences like software engineering, gamification, 2D/3D animation, UI/UX design, AR, MR & VR development, smart city, 5G, IoT, big data,digital twin and machine learning/AI. Our industry focus is Health, Energy, Telecommunication, E-learning, Education, Industry 4.0, Agriculture, Automotive. Contact info: anush.hayrapetyan@nuromedia.com
04/04/2023 INFOCERT SPA Italy Expertise Request Reliable Services and Smart Security (HORIZON-JU-SNS-2023-STREAM-B-01-04) F&T portal
InfoCert is the largest Trust Service Provider in EU, providing trust and identity services (both according the traditional and the decentralised paradigm) which apply to natural/legal persons as well as to infrastructural components. We are willing to bring our expertise on trust frameworks and technologies to a consortium which could benefit from our contribution
04/04/2023 NUROMEDIA GMBH Germany Expertise Request System Architecture (HORIZON-JU-SNS-2023-STREAM-B-01-01) F&T portal
Nuromedia GmbH is a German software engineering & multimedia company with more than 15 years of experience in national and EU funded projects. Our team offers competences like software engineering, gamification, 2D/3D animation, UI/UX design, AR, MR & VR development, smart city, 5G, IoT, big data,digital twin and machine learning/AI. Our industry focus is Health, Energy, Telecommunication, E-learning, Education, Industry 4.0, Agriculture, Automotive. Contact info: anush.hayrapetyan@nuromedia.com
04/04/2023 NUROMEDIA GMBH Germany Expertise Request SNS Societal Challenges (HORIZON-JU-SNS-2023-STREAM-CSA-01) F&T portal
Nuromedia GmbH is a German software engineering & multimedia company with more than 15 years of experience in national and EU funded projects. Our team offers competences like software engineering, gamification, 2D/3D animation, UI/UX design, AR, MR & VR development, smart city, 5G, IoT, big data,digital twin and machine learning/AI. Our industry focus is Health, Energy, Telecommunication, E-learning, Education, Industry 4.0, Agriculture, Automotive. Contact info: anush.hayrapetyan@nuromedia.com
04/04/2023 UNIVERSITATSMEDIZIN ROSTOCK Germany Expertise Request Pilot line(s) for 2D materials-based devices (RIA) (HORIZON-CL4-2024-DIGITAL-EMERGING-01-31) F&T portal
The Institute for Biomedical Engineering (IBMT) at Rostock University Medical Center performs research in the area of biomaterials and implant technology. We design and prototype novel implantable medical devices, implant-based coatings for local drug delivery, as well as functionalized biomaterials. We run a GLP-certified lab for preclinical (in vitro, in vivo) biocompatibility testing and combination product analytics (drug release, stability, degradation).More info: ibmt.med.uni-rostock.de/en
04/04/2023 NUROMEDIA GMBH Germany Expertise Request Communication Infrastructure Technologies and Devices (HORIZON-JU-SNS-2023-STREAM-B-01-03) F&T portal
Nuromedia GmbH is a German software engineering & multimedia company with more than 15 years of experience in national and EU funded projects. Our team offers competences like software engineering, gamification, 2D/3D animation, UI/UX design, AR, MR & VR development, smart city, 5G, IoT, big data,digital twin and machine learning/AI. Our industry focus is Health, Energy, Telecommunication, E-learning, Education, Industry 4.0, Agriculture, Automotive. Contact info: anush.hayrapetyan@nuromedia.com
04/04/2023 NUROMEDIA GMBH Germany Expertise Request Reliable Services and Smart Security (HORIZON-JU-SNS-2023-STREAM-B-01-04) F&T portal
Nuromedia GmbH is a German software engineering & multimedia company with more than 15 years of experience in national and EU funded projects. Our team offers competences like software engineering, gamification, 2D/3D animation, UI/UX design, AR, MR & VR development, smart city, 5G, IoT, big data,digital twin and machine learning/AI. Our industry focus is Health, Energy, Telecommunication, E-learning, Education, Industry 4.0, Agriculture, Automotive. Contact info: anush.hayrapetyan@nuromedia.com
04/04/2023 NUROMEDIA GMBH Germany Expertise Request Microelectronics-based Solutions for 6G Networks (HORIZON-JU-SNS-2023-STREAM-B-01-05) F&T portal
Nuromedia GmbH is a German software engineering & multimedia company with more than 15 years of experience in national and EU funded projects. Our team offers competences like software engineering, gamification, 2D/3D animation, UI/UX design, AR, MR & VR development, smart city, 5G, IoT, big data,digital twin and machine learning/AI. Our industry focus is Health, Energy, Telecommunication, E-learning, Education, Industry 4.0, Agriculture, Automotive. Contact info: anush.hayrapetyan@nuromedia.com
04/04/2023 NUROMEDIA GMBH Germany Expertise Request SNS Large Scale Trials and Pilots (LST&Ps) with Verticals – Focused Topic (HORIZON-JU-SNS-2023-STREAM-D-01-01) F&T portal
Nuromedia GmbH is a German software engineering & multimedia company with more than 15 years of experience in national and EU funded projects. Our team offers competences like software engineering, gamification, 2D/3D animation, UI/UX design, AR, MR & VR development, smart city, 5G, IoT, big data,digital twin and machine learning/AI. Our industry focus is Health, Energy, Telecommunication, E-learning, Education, Industry 4.0, Agriculture, Automotive. Contact info: anush.hayrapetyan@nuromedia.com
04/04/2023 Consortium Ubiquitous Technologies S.c.a.r.l. Italy Expertise Request System Architecture (HORIZON-JU-SNS-2023-STREAM-B-01-01) F&T portal
Cubit is a SME specialised in the design and realisation of custom electronic devices, monitoring and control systems, and IoT solutions for industrial automation, smart city, wearables, etc. We cover from hardware design to software development, including complex and intelligent algorithms on resource-constrained devices, interoperability and integration with larger systems. We have experience with numerous wired / wireless communication technologies, including design of proprietary protocols.
04/04/2023 NUROMEDIA GMBH Germany Expertise Request Complementary SNS experimental Pan-EU federated Infrastructure (HORIZON-JU-SNS-2023-STREAM-C-01-01) F&T portal
Nuromedia GmbH is a German software engineering & multimedia company with more than 15 years of experience in national and EU funded projects. Our team offers competences like software engineering, gamification, 2D/3D animation, UI/UX design, AR, MR & VR development, smart city, 5G, IoT, big data,digital twin and machine learning/AI. Our industry focus is Health, Energy, Telecommunication, E-learning, Education, Industry 4.0, Agriculture, Automotive. Contact info: anush.hayrapetyan@nuromedia.com
04/04/2023 Consortium Ubiquitous Technologies S.c.a.r.l. Italy Expertise Request Communication Infrastructure Technologies and Devices (HORIZON-JU-SNS-2023-STREAM-B-01-03) F&T portal
Cubit is a SME specialised in IoT solutions and drones. We design and realise IoT systems for multiple markets, covering from hardware design to software development, including intelligent algorithms on resource-constrained devices, interoperability, integration with larger systems. We have experience with many wired/wireless communication technologies, and design of proprietary protocols. We realise unmanned vehicles of various sizes and for multiple applications, including custom auto-pilots.
04/04/2023 NUROMEDIA GMBH Germany Expertise Request Wireless Communication Technologies and Signal Processing (HORIZON-JU-SNS-2023-STREAM-B-01-02) F&T portal
Nuromedia GmbH is a German software engineering & multimedia company with more than 15 years of experience in national and EU funded projects. Our team offers competences like software engineering, gamification, 2D/3D animation, UI/UX design, AR, MR & VR development, smart city, 5G, IoT, big data,digital twin and machine learning/AI. Our industry focus is Health, Energy, Telecommunication, E-learning, Education, Industry 4.0, Agriculture, Automotive. Contact info: anush.hayrapetyan@nuromedia.com
04/04/2023 NUROMEDIA GMBH Germany Expertise Request EU-US 6G R&I Cooperation (HORIZON-JU-SNS-2023-STREAM-B-01-06) F&T portal
Nuromedia GmbH is a German software engineering & multimedia company with more than 15 years of experience in national and EU funded projects. Our team offers competences like software engineering, gamification, 2D/3D animation, UI/UX design, AR, MR & VR development, smart city, 5G, IoT, big data,digital twin and machine learning/AI. Our industry focus is Health, Energy, Telecommunication, E-learning, Education, Industry 4.0, Agriculture, Automotive. Contact info: anush.hayrapetyan@nuromedia.com
03/04/2023 Consortium Ubiquitous Technologies S.c.a.r.l. Italy Expertise Request Global call according to SRIA 2023 (RIA) (HORIZON-KDT-JU-2023-2-RIA-TOPIC-1) F&T portal
Cubit is a SME specialised in design and realisation of custom electronic devices, monitoring & control systems, and Internet of Things (IoT) solutions for industrial automation, smart energy, smart city, environmental monitoring, wearables, tracking, etc. We can cover from hardware design to certification and industrialisation and software development including complex and intelligent algorithms on resource-constrained devices and integration with large systems and cloud platforms.
31/03/2023 MARKETKAPS S.A.S France Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
LOOKING TO JOIN CONSORTIUM:
We are supporting the largest European investor in IT R&D and are looking for a consortium for this call. If you wish to know more, please contact me at fplepage@marketkaps.com
Many thanks
François Le Page
Linkedin: https://www.linkedin.com/in/francoispierrelepage/
31/03/2023 NATIONAL UNIVERSITY OF LIFE AND ENVIRONMENTAL SCIENCES OF UKRAINE Ukraine Expertise Request Industrial leadership in AI, Data and Robotics boosting competitiveness and the green transition (AI Data and Robotics Partnership) (IA)[[https://www.europarl.europa.eu/RegData/etudes/STUD/2021/662906/IPOL_STU(2021)662906_EN.pdf]] (HORIZON-CL4-2024-DIGITAL-EMERGING-01-04) F&T portal
We are a scientific institution. We specialize in increasing the efficiency of operation of wheeled and tracked machines in the direction of reducing their impact on the environment (in agricultural production). We have experience in the design and construction of units and aggregates of mobile machines, increasing the efficiency of their operation, strength and reliability, maintenance and repair. Contact person: prof. Evgen Kalinin kalinin@nubip.edu.ua
30/03/2023 IT PERSPECTIVES SRL Romania Expertise Request System Architecture (HORIZON-JU-SNS-2023-STREAM-B-01-01) F&T portal
We create Web and Mobile Apps that facilitate Data gathering, collaboration, and information sharing, making it easy to Access and Analyze Data anytime, anywhere. We can help projects with Data Visualization, Business Intelligence, AI, Calculations, Statistics, and Algorithm application on Structured and Unstructured Data. Experts in application Architecture and Solution Design, with a large experience in health insurance (SNOMED, ICD10, ICD11) and BIM, digital twin, construction processes.
30/03/2023 INTERSPREAD GMBH Austria Expertise Request Call on Centres Of Excellence For Exascale HPC Applications (HORIZON-EUROHPC-JU-2023-COE-01-01) F&T portal
INTERSPREAD is an experienced dissemination, exploitation and communication partner for your project. Following the DEC guidelines provided by the EC, our creatives design recognisable project identities, leaflets and individual print materials, as well as project websites and digital banners for your social media channels thus maximising your projects’ impact. Awareness hubs or web platforms are implemented by our skilled developers. Email: dec@interspread.com Profile: http://bit.ly/interspread
30/03/2023 IT PERSPECTIVES SRL Romania Expertise Request Reliable Services and Smart Security (HORIZON-JU-SNS-2023-STREAM-B-01-04) F&T portal
We create Web and Mobile Apps that facilitate Data gathering, collaboration, and information sharing, making it easy to Access and Analyze Data anytime, anywhere. We can help projects with Data Visualization, Business Intelligence, AI, Calculations, Statistics, and Algorithm application on Structured and Unstructured Data. Experts in application Architecture and Solution Design, with a large experience in health insurance (SNOMED, ICD10, ICD11) and BIM, digital twin, construction processes.