Chiplet Integration – System, Components, Design Support
Chiplet integration is revolutionizing electronic systems — with our help, take advantage of the potential offered by this new technology! Our expertise spans the system, component, and transistor levels, ensuring a comprehensive approach to your project. We see chiplets as next step of your ASICs. Using our efficient design methods, we create innovative architectures and always focus on the chiplet interfaces to ensure seamless performance and reliability.
RFicient® delivers fast, reliable wireless communication across three license-free bands with under 3 µA – perfectly suited for battery-powered, energy-autonomous, and ultra-low-power IoT applications.
Mesh networks connect autonomous drones directly, without the need for centralized infrastructure. This allows them to operate safely and flexibly, even in remote and complex mission scenarios.
Current neural network architectures require high computing power and a lot of energy. Neuromorphic hardware uses massive parallel processing to perform machine learning faster and more energy-efficiently, among other things. Efficient architectures that optimize computing power, energy consumption and chip area are crucial for the use of neural networks in embedded devices.
Sensors powered by energy harvested from the environment are maintenance-free and independent of the power grid. They are easy to install and can be retrofitted quickly and cost-effectively. Energy harvesting allows vibrations in devices, machines, and structures, or temperature differences in pipes, lines, and devices to be used to generate electrical energy for self-sufficient power supply.
The Bavarian Chip-Design-Center strengthens chip design capabilities in Bavaria and makes it easier for companies to access chip design and supply chains. It develops IP portfolios, promotes talent with targeted trainee programs and further training and provides access to its own ICs as prototypes and small series.
The Edge AI platform supports you in developing powerful edge AI models and integrating them into your embedded systems without requiring expert knowledge. It also enables the rapid selection of suitable hardware for your application through data acquisition, training, multi-objective optimization, and deployment on your edge devices.
Artificial intelligence is increasingly moving from data centers to edge devices, enabling local processing, fast response times, and enhanced data privacy. The Edge AI Store provides optimized models for resource-constrained devices. The result: faster innovation cycles, lower energy consumption, and a clear path from idea to product. Discover models now and get started right away!
Fraunhofer IIS supports commercial ICs from the first idea to transfer into series production: access to fabrication technologies, flexible design infrastructure, custom IC development, prototyping, packaging, testing & qualification, and supply chain support within the IC ecosystem.