The AI-FAIR Lab is focused on improving the completeness, generalization, explainability, and deployability of deep data-driven methods for automotive imaging radar processing, with a primary use case of collision risk prediction with vulnerable road users. AI-FAIR Lab is a collaboration between the Eindhoven University of Technology, NXP Semiconductors, and NLAIC.
The AI-enabled Manufacturing and Maintenance (AIMM) Lab is a collaboration between Eindhoven University of Technology (TU/e), KMWE, Lely, Marel and Nexperia. The labs goal is to develop better data science techniques that make improvements in both manufacturing and maintenance. AIMM Lab is established by the Eindhoven Artificial Intelligence Systems Institute (EAISI) to promote AI research in cooperation with industry. The areas of research of AIMM Lab will directly interface with topics such as Autonomous Agents & Robotics, Computer Vision, Decision Making, Information Retrieval, Knowledge Representation & Reasoning, Neuro-linguistic Programming and Machine Learning. Within the lab, the industry partners and the TU/e will jointly develop research proposals with companies from the region.
The e/MTIC AI-Lab is a collaboration between Eindhoven University of Technology, Catharina Hospital, Maxima Medical Center, Kempenhaeghe Epilepsy and Sleep Center and Philips. The main purpose of e/MTIC is to provide a fast track to high-tech health innovations. e/MTIC AI-Lab focuses on improving personalized treatment by having AI work in close collaboration with the clinical staff and MedTech industries since AI is better able to make reliable decisions in a wide range of healthcare situations. It will cooperate on decisions and continuously learn to be a better partner. This requires new approaches, new models and new benchmarks for the reliability, efficacy and trustworthiness of AI. The goal of the e/MTIC ICAI lab is to work with a unique mixture of industry, clinical partners and TU/e researchers to maximize the value of AI for the clinical practice.
The FAST LAB (new Frontiers in Autonomous Systems Technologies) is a collaboration between Eindhoven University of Technology (TU/e), Lely, Rademaker, Diversey, ExRobotics and Vanderlande. The industrial partners share a common R&D demand in that they want their mobile robot systems to operate safely whilst performantly in environments that are subject to static and dynamic changes. Tasks, environments and variations that we know in beforehand although never know in which order or configuration will manifest; it demands a more scalable, non-conservative and explainable solution to cope with these changes in an explicit way. The lab comprises expertise from different fields of expertise, in creating system engineered solutions to cope with the complex challenge at hand. Henceforth, this lab comprises a team of experts from Human Technology Interaction (HTI), Software System Design (SSD), Perception Systems (PS) and Control Systems Technology (CST) that closely work together.
EAISI Mobility Lab is a collaboration between Eindhoven University of Technology and NXP Semiconductors. It aims to use the ongoing digitization of vehicles and transport services to bring about accident-free mobility. At present, too many people die or get hurt on our roads. The researchers at the Mobility Lab believe that technology and AI in particular can make vehicles inherently safe by giving drivers real-time support in critical situations. In order to achieve this goal, they use technologies like machine learning, world modelling, optimized human-machine cooperation, new vision and radar systems, and ultrafast actuators. The Mobility Lab aims to design intelligent mobility systems that sense their environment, learn and understand it, and, in interaction with humans, reason about which action to take to achieve specific goals. Examples include new types of cruise control systems, pro-actively adjusting speed based on surrounding vehicles, traffic jam assistance and platooning.
The FEPlab (Free Energy Principle Laboratory) is a collaboration between Eindhoven University of Technology (TU/e) and GN Hearing. The mission of the lab is to ameliorate the participation of hearing-impaired people in formal and informal social settings. The lab will focus its research on transferring a leading physics/neuroscience-based theory about computation in the brain, the Free Energy Principle (FEP), to practical use in human-centered agents such as hearing devices and VR technology. FEPlab comprises experts from different fields of expertise such as Audiology, Autonomous Agents & Robotics, Decision Making, and Machine Learning to tackle the complex multidisciplinary challenges at hand. Socially aware AI and explainable AI are especially important in the lab’s research since the technology needs to be aware of the social context in which it is operating and be able to provide justification for its decisions and actions in a manner that is understandable by humans to ensure its safe use.