Hola,
Are you new here?

TUAI

financed

Towards an Understanding of Artificial Intelligence via a transparent, open and...

Towards an Understanding of Artificial Intelligence via a transparent, open and explainable perspective The focus of the TUAI project will be on the highest quality doctoral training on sustainable the AI that is used in smart manufacturing, smart cities, smart healthcare and smart mobility. This will be achieved by multilateral aca... see more

30/09/2028

POLITECHNIKA SLASK...

Unknown Budget

Project leader

POLITECHNIKA SLASKA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Financing granted El organismo HORIZON EUROPE notifico la concesión del proyecto The day 2024-10-01

HORIZON-MSCA-2023-DN-01-01: MSCA Doctoral Networks 2023 Expected Outcome:Project results are expected to contribute to the following outcomes:

I+D

Cerrada does 1 year

0% 100%

characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

Participantes

POLITECHNIKA SLASKA

Leader

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Project duration: 47 months Date Start: 2024-10-01
End date: 2028-09-30

Project leader

POLITECHNIKA SLASKA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

participation deadline Sin fecha límite de participación.

Project description The focus of the TUAI project will be on the highest quality doctoral training on sustainable the AI that is used in smart manufacturing, smart cities, smart healthcare and smart mobility. This will be achieved by multilateral academic and industry trainings for a new generation of creative, entrepreneurial and innovative researchers – Doctoral Candidates (DCs), who will be able to face both the current and future challenges that are associated with the development of Machine Learning (ML) and who will be able to effectively use the latest advances in artificial intelligence and data mining in order to ensure the competitive advantage of the European producers that will use the practical solutions from the TUAI project. The project will focus on ML-based smart services that should first meet the customers’ needs but with the same importance should focus on protecting the natural environment by creating smart services dedicated for smart mobility, to reduce energy consumption by smart cities and to avoid the losses and suboptimal use of resources in smart manufacturing. The scope of the research will be organised under four research areas (RA): (i) Time Series Analysis, (ii) Sensor Fusion, (iii) Federated Learning and (iv) the sustainability and trustworthiness of the AI solutions. The precise challenges for each RA will be expressed by research questions (RQ), which will be resolved by the individual DC projects. The RQs will not be separate areas of research but will be complementary and intertwined components. Therefore, it is not sufficient to train DCs in one RA and ignore another. The TUAI project will provide holistic research training through secondments and network-wide training activities. The proposed approach will ensure excellent research training for the thirteen DCs who will be prepared for future work both in academic and non-academic sectors and will be able to face the challenges that are associated with the different application areas.

Conecta tu I+D

Entra hoy

Forgot your password?

Financing

Companies

CTIs/Universidades

Projects

researchers