The European Commission is committed to tapping into the potential of Artificial Intelligence (AI) to collaboratively and complementarily drive research to address global challenges.
DG CONNECT is the European Commission’s Directorate General responsible for digital policies. Through its Directorate A “Artificial Intelligence Office”, it is tasked to implement the AI Act and promote the development and use of trustworthy AI. Additionally, it focuses on creating solutions for societal good, while also facilitating the implementation of international AI agreements to contribute to a global approach to AI.
The purpose of this call for tenders is to develop and test AI-powered solutions for the benefit of the EU as well as wider communities and third countries. The call has two lots, on AI for Cancer imaging (LOT1) and on AI for Electric grid optimisation (LOT2).
LOT 1 will explore and demonstrate how AI-powered solutions applied to EU cancer imaging data can be further fine-tuned and applied in other locations and settings covering a large variety of populations, without transferring the underlying sensitive health data. It has two predefined use-cases, breast cancer and prostate cancer.
LOT2 will support the European Commission in exploring and demonstrating the application of AI- powered solutions to effectively tackle challenges within energy systems, specifically focusing on the seamless integration of renewable energy sources (RES) capacity across diverse energy system levels.

LOT-0001
AI for Public Good (Health): Innovative AI-powered cancer imaging solutions for breast and prostate diagnosis.
The European Commission is committed to tapping into the potential of Artificial Intelligence (AI) to collaboratively and complementarily drive research to address global challenges.
DG CONNECT is the European Commission’s Directorate General responsible for digital policies. Through its Directorate A “Artificial Intelligence Office”, it is tasked to implement the AI Act and promote the development and use of trustworthy AI. Additionally, it focuses on creating solutions for societal good, while also facilitating the implementation of international AI agreements to contribute to a global approach to AI.
The purpose of this call for tenders is to develop and test AI-powered solutions for the benefit of the EU as well as wider communities and third countries. The call has two lots, on AI for Cancer imaging (LOT1) and on AI for Electric grid optimisation (LOT2).
LOT 1 will explore and demonstrate how AI-powered solutions applied to EU cancer imaging data can be further fine-tuned and applied in other locations and settings covering a large variety of populations, without transferring the underlying sensitive health data. It has two predefined use-cases, breast cancer and prostate cancer.

LOT-0002
AI for Public Good (Energy): Innovative AI-powered solutions for electric grid optimisation.
The European Commission is committed to tapping into the potential of Artificial Intelligence (AI) to collaboratively and complementarily drive research to address global challenges.

DG CONNECT is the European Commission’s Directorate General responsible for digital policies. Through its Directorate A “Artificial Intelligence Office”, it is tasked to implement the AI Act and promote the development and use of trustworthy AI. Additionally, it focuses on creating solutions for societal good, while also facilitating the implementation of international AI agreements to contribute to a global approach to AI.
The purpose of this call for tenders is to develop and test AI-powered solutions for the benefit of the EU as well as wider communities and third countries. The call has two lots, on AI for Cancer imaging (LOT1) and on AI for Electric grid optimisation (LOT2).
LOT2 will support the European Commission in exploring and demonstrating the application of AI- powered solutions to effectively tackle challenges within energy systems, specifically focusing on the seamless integration of renewable energy sources (RES) capacity across diverse energy system levels.