The Wide Landscape of Neuromorphic Computing: An Overview, Challenges, and Opportunities
General Information
Inspired by principles of biological computation found in the brain, the field of neuromorphic computing develop new hardware and software approaches, usable for example in AI applications or robotics. By using so-called spiking neurons, it is aimed to develop more energy-efficient solutions compared to traditional von-Neumann hardware, i.e., CPUs and GPUs. In the past years, many different neuromorphic chip designs have been proposed often with strong limitiations on implementable functions. The course is designed to give participants an insight into this exciting field of research, therefore we will discuss the theoretical background, highlight potential limitations, but also benefits of neuromorphic computing platforms. The participants will then apply in small groups the gained knowledge using sample tasks.
Nevertheless, good Python programming skills are required. The course language is English.
Registration and materials
https://bildungsportal.sachsen.de/opal/auth/RepositoryEntry/53419180034Content
TBACourse plan
Alternating between in-person lectures courses and self-study using on-line materials. More details wil be following soon.