Georgios Sotiropoulos, M.Sc.
- Wissenschaftlicher Mitarbeiter
- Gruppe: Prof. Becker
- Raum: 226.1
CS 30.10 - Tel.: +49 721 608-47659
- georgios sotiropoulos ∂does-not-exist.kit edu
- Engesserstr. 5
76131 Karlsruhe
AI Hardware Fault Tolerance
Safety-critical applications, where system failures can lead to severe consequences, highlight the importance of hardware fault tolerance. Systems in industries such as automotive, aviation, and healthcare must maintain reliable operational behavior even in the presence of hardware faults. Fault-tolerant designs aim to ensure correct functionality, even when multiple faults occur, safeguarding performance and minimizing risks in critical environments.
AI Hardware Accelerators
AI hardware accelerators are specialized devices designed to enhance the performance of artificial intelligence tasks. These accelerators optimize computational workloads like deep learning and neural network processing through parallelism and high-speed data handling. They are crucial for reducing latency, improving energy efficiency, and enabling real-time AI applications across industries such as robotics and autonomous vehicles. By addressing the intensive demands of AI algorithms, these accelerators significantly boost speed and scalability in training and inference processes.