Imagine AI that doesn't eat up massive amounts of electricity and is actually easy for humans to trust. It's like upgrading a gas-guzzling car to a smart electric vehicle that explains exactly why it's taking a certain route. This effort makes AI leaner, safer, and more helpful for critical industries.
AI is currently too energy-hungry, often a 'black box' that users don't trust, and too rigid to adapt to changing industrial environments without expensive manual updates.
A suite of over 75 AI prototypes and algorithms, a Safety and Security Risk Assessment tool, and a Common Research Roadmap for European AI.
If you are a medical software provider dealing with patient trust and high computing costs — this project developed over 75 AI solutions that make tools more transparent and energy-efficient. This ensures doctors can rely on the AI's decisions while lowering server bills.
If you are a factory operator dealing with unpredictable machine failures and rigid AI models — this project developed adaptive AI methods. These tools allow your systems to adjust to new factory conditions in real-time without needing a total rewrite of the code.
If you are a grid manager dealing with the massive carbon footprint of data centers — this project developed Green AI algorithms. This reduces the environmental impact of your predictive maintenance and load balancing software.
Based on available project data, no specific pricing or cost models are provided as this is a research-driven initiative funded by the EU.
Yes, the project specifically targets industrial verticals including manufacturing, energy, and space to ensure the results are applicable to large-scale business operations.
Based on available project data, specific licensing terms are not listed, but the project focuses on creating a common research roadmap and open calls for innovation.
The project is designed to implement the Artificial Intelligence Act by creating a Safety and Security Risk Assessment tool and a White Paper on Trustworthy AI.
The project period runs from September 1, 2023, to August 31, 2026, suggesting that final outputs will be ready by late 2026.
The project features a strong industrial base with 11 companies (35% industry ratio), including 5 SMEs, ensuring that the research is grounded in commercial reality. With 31 partners across 18 countries, the consortium balances academic depth (11 universities, 8 research centers) with practical application in high-stakes sectors like space and healthcare.
Contact NTNU (Norwegian University of Science and Technology) regarding the ENFIELD lighthouse project.
Contact SciTransfer to connect with the ENFIELD consortium for early access to Green AI prototypes.
