EDIH South Netherlands ('EDIH-SNL') supports the SME manufacturing industry in Zeeland, North Brabant and Limburg with their digitization issues. The focus of 'Hub Zuid' is on the agrifood, semicon, automotive, process industry, medical systems and mechanical engineering sectors.
Noord-Brabant is a province of the Netherlands, located in the south of the country. It borders the provinces of South Holland and Gelderland to the north, Limburg to the east, Zeeland to the west, and the Belgian provinces of Antwerp and Limburg to the south.
Eindhoven University of Technology (TU/e) is a young university, founded in 1956 by industry, local government and academia. Today, their spirit of collaboration is still at the heart of the university community. We foster an open culture where everyone feels free to exchange ideas and take initiatives.
TNO is an independent not-for-profit research organisation that connects people and knowledge to create innovations.
The AI-on-Demand platform is a sustainable digital platform and experimentation environment through the creation of open research channels and mechanisms that foster the European AI research ecosystem, academic and industrial, and that maximises the academic, social, and industrial impact while it seamlessly integrates other projects, platforms, and solutions. It aims to position itself as the one-stop shop for anyone looking for AI knowledge, technology, tools, services and experts.
The University of Agder is a government-owned university, headed by an elected Rector and an appointed University Director. It has six faculties and one teacher unit governed as a whole by the University Board, which consists of a majority of members elected by faculty, staff and students and a minority of external members appointed by the Ministry of Education and Research.
This project is focusing on the question of “How a robot can efficiently learn to manipulate in a purposeful and highly performant way”. IntelliMan will range from learning individual manipulation skills from human demonstration, to learning abstract descriptions of a manipulation task suitable for high-level planning, to discovering an object’s functionality by interacting with it, to guarantee performance and safety.
Since 2004, PAL Robotics has been dedicated to enhancing societal well-being and solving everyday problems through the integration of robotics into daily life. Our robots work alongside humans, supporting both domestic tasks and improving efficiency in industrial settings. We specialize in creating customizable, tailor-made robotic platforms and modular components that adapt to the specific needs of our clients. From the day our team of engineers debuted Europe’s first fully autonomous humanoid biped robot, PAL Robotics has been recognized for our commitment to innovation and excellence in research & development.
Imec is the world's leading independent nanoelectronics R&D hub. The combination of our talent, infrastructure, and partner network enables breakthroughs towards microchips that are smaller, faster, more affordable, and more sustainable. We combine that nanotech expertise with data and AI to create and support applications for a smarter, better future.
Artificial intelligence powers a growing number of systems today. This is why it’s important to make sure the AI algorithms work correctly. In this context, the EU-funded AutoFair project will focus on the issue of fairness. Specifically, it will deal with the design of explainable and transparent AI algorithms.
The artificial intelligence (AI) needed for complex autonomous tasks like self-driving cars depends on deep learning techniques. However, safety requirements mean that such techniques must also be explainable and traceable. The EU-funded SAFEXPLAIN project plans to solve this issue by creating new explainable deep learning solutions with end-to-end traceability that comply with functional safety requirements for critical autonomous AI-based systems while preserving high performance.
The goal of the AUTOASSESS project is to employ a robot and remove human surveyors out of harm’s way, while at the same time obtaining an accurate, repeatable, and quick vessel inspection.
The PERKS project supports the holistic governance of industrial PK in its entire life cycle, from elicitation to management and from access to exploitation. PERKS bases its solutions on leading-edge AI (both symbolic and subsymbolic) and data technologies, by advancing and integrating existing methodologies and tools in terms of readiness, flexibility and user acceptance.
dAIry 4.0 integrates AI, Data, and Robotics to optimize AVMS, reducing environmental impact. It focuses on individual cow health via AVMS and introduces a laser sensor for real-time milk quality analysis.
DATAMITE delivers a modular, open-source and multi-domain Framework to improve data monetising, interoperability, trading and exchange in the form of software modules, training and business materials for European companies, empowering them to become new relevant players in the data economy.
UPCAST Project provides a set of universal, trustworthy, transparent, and user-friendly data market plugins for the automation of data sharing and processing agreements between businesses, public administrations and citizens.
EMERALDS is a Horizon Europe project developing a Mobility Analytics as a Service (MAaaS) toolset which will set itself apart by moving more than 30% of the analytics and 50% of sensitive data analytics to edge computing (processing the data on the same devices that collect the data or nearby devices to improve response times and privacy of sensitive data). The technology can improve decision-making by public authorities and individuals, leading to more efficient mobility, saving time, money and reducing environmental impact.
The REXASI-PRO project aims to release a novel engineering framework to develop greener and Trustworthy Artificial Intelligence solutions. The project will develop in parallel the design of novel trustworthy-by-construction solutions for social navigations and a methodology to certify the robustness of AI-based autonomous vehicles for people with reduced mobility.
CEDAR will create an inclusive, federated, and privacy-preserving Data Commons space, to establish a secure and reliable space for sharing information among stakeholders across multiple domains. CEDAR will ensure that more data becomes available in the economy and society while keeping companies and individuals who generate the data in full control in a trusted, secure, and transparent manner.
The FAITH project will develop and validate a human-centric, trustworthiness optimization ecosystem, which enables measuring, optimizing and counteracting the risks associated with AI adoption and trustworthiness in critical domains, namely robotics, education, media, transport, healthcare, active ageing, and industrial processes through seven international Large Scale Pilots.