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Project Overview | Project Code: CIT 03 |
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| Project name: | Brain-inspired Computing for Edge AI |
| TUM Department: | CIT - Electrical and Computer Engineering |
| TUM Chair / Institute: | Professorship for AI Processor Design |
| Research area: | Computer Engineering, Circuits, AI, Deep learning |
| Student background: | Computer EngineeringComputer Science/ InformaticsPhysics |
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Planned project location: | Munich (Garching Campus) |
Project Supervisor - Contact Details | |
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| Title: | Prof. Dr.-Ing. |
| Given name: | Hussam |
| Family name: | Amrouch |
| E-mail: | amrouch@tum.de |
| Phone: | 0000 |
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Project Description | |
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| Project description: | Edge AI is propelling a wide array of applications, from autonomous vehicles to personalized healthcare. In this project, students will learn the latest advancements in edge AI. The project comes with highly interdisciplinary research that spans from technology to architecture, culminating in innovative AI algorithms and student can select the key research area that he/she want to dive in. student will explore novel architectures that transcend the von Neumann computing paradigm, in conjunction with brain-inspired algorithms. Further, the project will delve into the use of cutting-edge emerging beyond-CMOS technology in 3D integration for ultra-dense brain-inspired computing. The vital role of technology/algorithm co-optimization in enhancing reliability will be covered in detail. |
| Working hours per week planned: | Mon-Fri, ca. 40 hrs./week |
Prerequisites | |
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Required study level minimum (at time of TUM PREP project start): | 3 years of bachelor studies completed |
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