The European Key Digital Technologies (KDT) scheme stimulates research and innovation in the field of digital technologies. Through this scheme, consortia of companies, knowledge institutions and public organizations are given the opportunity to work together on innovative applications of artificial intelligence (AI).
The KDT scheme is part of the Horizon Europe program and is supported in the Netherlands by the AiNed program. The aim is to involve more Dutch parties in international AI projects that are both economically and socially relevant.
A KDT Research and Innovation Action (RIA) focuses on developing and testing new technologies, methods and applications. This is often done in a laboratory environment or with a prototype. The projects contribute to strengthening the European ecosystem and finding solutions to current societal challenges.
The selected projects
1. NewLife
NewLife is using AI and digital technology to protect the health of mothers and babies. The project is developing smart, non-invasive ways to identify risks during pregnancy and in newborns early. In this way, complications and premature births can be better prevented.
With 25 partners from six European countries, NewLife joins the forces of researchers, companies and healthcare professionals to accelerate innovation and make an impact where it matters most: in the first phase of life.
Read more about this project
2. A-IQ Ready
A-IQ Ready works to develop AI systems that operate smarter and more reliably in complex environments. Think self-driving transportation, smart factories and other critical infrastructures. The project explores how AI can be made safer and more robust by bringing the intelligence closer to the user or machine, rather than relying on external data centers. This will not only improve reliability but also better protect privacy.
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3. CLEVER
The CLEVER project focuses on sustainability. The goal is to make AI systems less energy-intensive. Currently, many AI applications require a large amount of computing power and electricity. CLEVER is therefore investigating new methods and hardware architectures that are more energy efficient without sacrificing performance. This will help reduce AI's carbon footprint and make large-scale applications more feasible in the future.
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4. EdgeAI
EdgeAI is developing technology that allows data to be processed directly "at the edge" of networks (edge computing). This means that information does not have to be sent to large servers first, but can be analyzed on the spot. This is crucial for applications that require speed and reliability, such as smart traffic systems, medical devices or industrial automation. By doing processing closer to the source, delays are reduced and sensitive data remains better protected.
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