• Production
  • IoT Engineering
Project closure

Automated risk management as a key to competitiveness

| After three years of successful research, the ASCA4IE project was able to present promising results at the end of March on the verifiability of security requirements for industrial IoT applications. Siemens Foundational Technologies played a key role as a project partner in the development and implementation of the solutions. The insights gained make a significant contribution to the secure and efficient use of edge computing platforms in industry, which enable significantly greater flexibility and efficiency in automated manufacturing by connecting devices and computing resources.
  • Production
  • AI Engineering
Project closure

Neuromorphic AI enables precise and energy-efficient action recognition in real time

| In sports, especially in tennis, the precise analysis of movements is becoming increasingly important. With the completion of the SpikingBody research project, fortiss has developed an innovative solution that uses neuromorphic AI to recognize player actions in real time and with exceptional energy efficiency. The system combines event-based image sensors with specialized neuromorphic hardware to enable precise, low-latency, and energy-efficient capture of human movements.
  • Production
  • AI Engineering
Interview

Sustainable production starts with intelligent solutions

| The manufacturing industry is undergoing a major technological transformation: automation, artificial intelligence (AI), connectivity and IIoT are becoming the driving forces of modern production systems. For instance, the integration of AI and collaborative robotics revolutionizes the way factories operate and enables smarter, more adaptable, and efficient production lines. But what challenges must be tackled to make these technologies a reality on the factory floor? How can manufacturing systems be designed for flexibility and futureproofing? What strategies help balance investment and operating costs in complex production environments? And how can we ensure that these systems are both cost-effective and scalable? In this interview, fortiss researcher Alexander Perzylo speaks about the future of smart manufacturing. He shares valuable insights into the latest developments, innovative solutions, and the critical role of research in shaping the manufacturing processes of tomorrow.
  • Energy
  • AI Engineering
  • IoT Engineering
Interview

How data accelerates the energy transition

| As energy systems become more decentralized and dynamic, the role of data has never been more important. From planning to operation, access to high-quality, well-structured energy data is key to making smarter, faster, and more cost-effective decisions. But how can organizations harness this data effectively and what tools are available to help them do so? To shed light on these questions, we spoke with Mahsa Faraji Shoyari and Dr. Jessy Matar, researchers at the Architectures and Service for Critical Infrastructures competence field at fortiss. They share insights into how modern data infrastructures, automated processing, and digital twins are revolutionizing the way energy systems are planned, managed, and optimized.
  • Medicine
  • Automotive
  • Software & Systems Engineering
Project start

Innovative testing methods for greater safety in critical systems

| In safety-critical systems, even the smallest errors can have serious consequences—such as the failure of an autonomous driving function or the malfunction of a medical device. To prevent such risks, fortiss launched the binational cooperation project PlaTFoRm at the beginning of the year. Together with partners from research and industry in Germany and the United Kingdom, practical testing methods are being developed that can detect architectural flaws which may compromise the robustness of safety-critical systems. The focus is on approaches that can be applied in the early phases of development, enabling errors to be corrected before the final system integration and verification—thus avoiding time-consuming and costly changes.
  • Production
  • AI Engineering
Project closure

Energy-efficient robot control delivers real-time precision

| With the successful completion of the ELEANOR project, fortiss is advancing neuromorphic computing for real-time, energy-efficient robot control. By combining an event-based camera for sensory input with a neuromorphic chip for computation, the project demonstrates how biologically inspired hardware can improve precision, adaptability, and efficiency in industrial robotics.
  • AI Engineering
Project start

Neuromorphic computing creates an immersive digital experience

| Together with Simi Reality Motion Systems GmbH, fortiss has launched the EMMANÜELA project to research the use of neuromorphic sensor technology and neuromorphic computing in the field of augmented and virtual reality (AR/VR). By integrating this technology, which is based on the neuronal structure of the human brain, into the immersive possibilities of AR/VR, the potential of neuromorphic methods for applications in augmented digital worlds is being investigated. The project opens up new perspectives for innovative solutions and demonstrates their potential for future areas of application.
  • Automotive
  • Software & Systems Engineering
Interview

Reliable software as the key to tomorrow's mobility

| The automotive industry is facing one of the biggest technological transformations in its history: software is becoming the central innovative force of modern vehicles. For example, the development of autonomous driving functions requires not only state-of-the-art AI algorithms, but also safe, reliable and scalable software architectures. But what challenges need to be overcome in order to bring these technologies to the road? Which approaches ensure safety and reliability? How can software variants be managed efficiently? And which methods ensure compliance with the highest industry standards? In this interview, we talk to Simon Barner and Andreas Bayha, heads of the Model-based Systems Engineering competence field at fortiss, about the future of autonomous driving functions. They provide revealing insights into current developments, innovative solutions and the crucial role of research for the intelligent mobility of tomorrow.
  • Transfer
  • Energy
Project closure

A pioneering model for sustainable energy management in SMEs

| The successful completion of the EILE (Energiewissen und InteLigente AnwEndung) future project at the end of 2024 marked a significant milestone for forward-looking energy management. Under the leadership of the state research institute fortiss, a practice-oriented and generic process model was developed that enables small and medium-sized enterprises (SMEs) to get started with optimal and efficient energy management.
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