Seminar & Colloquium
[세미나: 11월 13일(수), 오후 3시] Prof. Yoeri van de Burgt, Eindhoven University of Technology
Title
On-chip learning with organic neuromorphic and biohybrid systems
Speaker
Prof. Yoeri van de Burgt, Institute for Complex Molecular Systems, Eindhoven University of Technology, Netherlands
* Biography
Yoeri van de Burgt is associate professor at Eindhoven University of Technology leading the neuromorphic engineering group. He obtained his PhD degree in 2014 and briefly worked at a high-tech startup in Switzerland after which he worked as a postdoctoral fellow at the department of Materials Science and Engineering at Stanford University. He has been a visiting professor at the University of Cambridge in 2017 and Georgia Tech in 2022, and was awarded an ERC Starting Grant in 2018 and an ERC Consolidator Grant in 2023. Yoeri was a member of the Eindhoven Young Academy and served as the chair between 2021 - 2022. He is one of the MIT Technology Review innovators under 35 Europe and Advanced Materials Rising Stars. Yoeri is a member of the scientific advisory board of the Centre for Cognitive Systems and Materials at the University of Groningen. He serves on the editorial boards of IOP Neuromorphic Computing and Engineering and Materials Science and Engineering R.
| Date | Wednesday, November 13th, 2024
| Time | 15:00 ~ 16:00
| Venue | 33동 222호 (동부 세미나실)
[Abstract]
Neuromorphic engineering takes inspiration from the efficiency of the brain and focusses on how to utilise its functionality in hardware. Organic electronic materials have shown promise in accelerating neural networks by performing multiply-accumulate operations in parallel, as well in the manipulation and the processing of biological signals, with applications ranging from neuromorphic accelerators and bioinformatics to smart sensors and robotics.
This talk describes state-of-the-art organic neuromorphic devices and provides an overview of the current challenges in the field and attempts to address them. I demonstrate a device concept based on novel organic mixed-ionic electronic materials and show how we can use these devices in trainable biosensors and smart autonomous robotics. I will present a novel implementation of backpropagation with gradient descent directly in hardware and highlight a route towards large-scale integration of organic neuromorphic arrays that are necessary for advanced intelligent computing systems.
Next to that, organic electronic materials have the potential to operate at the interface with biology. This can pave the way for novel architectures with bio-inspired features, offering promising solutions for the manipulation and the processing of biological signals and potential applications ranging from brain-computer-interfaces to bioinformatics and neurotransmitter-mediated adaptive sensing. I will highlight our recent efforts on hybrid biological memory devices and artificial neurons.
| Host | 이태우 교수(02-880-8021)