Lecture
3.10 Embedded-AI in a nutshell - process, use cases and a look in to the future
- 14.11.2024 at 14:00 - 14:20
- Future Control Stage (C5.259)Artificial Intelligence & ML
- Language: English
- Type: Lecture
Lecture description
In practice, the concept of embedded AI as a very independent AI system with high real-time capability, efficiency and data protection is separated from that of edge AI and the development process is roughly outlined. The impacts of this technology on industrial applications (automation, white goods, automotive) are then shown and evaluated, starting with the use cases of a dish-smelling stove, predictive maintenance and stress detection in the face of a car driver. Finally, there is an outlook for the future.
Further lectures
- 10:00 - 10:203.1 Demystifying the Open Source Graphics Stack on Linux: From Kernel to User Space with a Focus on Embedded Systems
- 10:20 - 10:403.2 Building and maintaining embedded Linux distributions with Yocto and Mender
- 10:40 - 11:003.3 Embedded Linux: Armbian or Yocto?
- 11:00 - 11:203.4 Getting Up to Speed with RTOS-based Firmware Development
- 11:20 - 11:403.5 Managing compliance: Open Source license obligations checklists
- 11:40 - 12:003.6 Meeting the cybersecurity needs of embedded systems
- 12:20 - 12:403.8 Mesa3D Unveiled: From glDrawArrays(…) to GPU Magic
- 13:40 - 14:003.9 Enhancing interoperability and performance for low-power Wi-Fi 6/6E IoT devices
- 14:00 - 14:203.10 Embedded-AI in a nutshell - process, use cases and a look in to the future
- 14:20 - 14:403.11 How to use NVIDIA TAO Models that run on Orin to work on Embedded ARM based MCU