The webinar demonstrates how small and medium-sized enterprises can benefit from flexible electricity prices. It explains the advantages of dynamic tariffs and presents strategies for reducing energy costs and increasing competitiveness.
The VDI conference "Digital Municipal Heat Planning" explores the current state of heat planning, bringing together experts from engineering firms, energy providers, municipalities, and research. The focus lies on sharing experiences and discussing ways to simplify and standardize digital planning processes for a successful energy transition.
fortiss is actively shaping the future of automotive software technology, supporting tomorrow's mobility with safe, intelligent, and efficient solutions. As an innovation hub for the automotive industry, we provide our partners with scientifically grounded, practical approaches that successfully bridge research and market demands.
![[Translate to English:] Software- und Systems Engineering](/fileadmin/user_upload/04_Forschung/fortiss-cluster-sse-engineering-menu.jpg)
fortiss is advancing Software & Systems Engineering by transitioning from traditional, centralized systems to complex, dynamically interconnected, and autonomously operating systems. Our research focus integrates modern, data-driven development methods with established model-based approaches to create trustworthy, self-learning systems. We concentrate on the structured development of autonomous systems, optimization of software and system architectures, and the use of AI methods in software engineering. Additionally, we work on securing and certifying large software systems.
![[Translate to English:] AI Engineering](/fileadmin/user_upload/04_Forschung/fortiss-cluster-ai-engineering-menu.jpg)
The AI Engineering research focus at fortiss develops robust and trustworthy AI technologies for uncertain environments. Our goal is to enhance the reliability and explainability of AI systems and increase their resilience against erroneous inputs and attacks. We focus on processing both large and small datasets while ensuring confidentiality, developing efficient systems for safety-critical applications, and promoting intuitive human-machine interactions. Additionally, we explore new approaches in reinforcement learning and neuromorphic computing to improve the learning and adaptability of data-driven systems.
![[Translate to English:] IOT Engineering](/fileadmin/user_upload/04_Forschung/fortiss-cluster-iot-engineering-menu.jpg)
In the IoT Engineering research focus, fortiss develops flexible, software-based infrastructures that dynamically adapt to changing requirements. We integrate sensor, computing, and communication capabilities into heterogeneous systems and software-penetrate critical infrastructures. Our focus is on creating resilient, decentralized systems, transparent data management, and advancing communication networks. We combine Edge and Cloud Computing to enable efficient, secure, and scalable IoT solutions for modern, dynamic environments.
