- Series
- Applied and Computational Mathematics Seminar
- Time
- Monday, February 10, 2025 - 2:00pm for 1 hour (actually 50 minutes)
- Location
- Skiles 005
- Speaker
- Yunho Kim – UNIST, Korea – yunhokim@unist.ac.kr – https://yunhokim.wordpress.com
- Organizer
- Sung Ha Kang
Reservoir computing is a branch of neuromorphic computing, which is usually realized in the form of ESNs (Echo State Networks). In this talk, I will present some fundamentals of reservoir computing from both the mathematical and the computational points of view. While reservoir computing was designed for sequential/time-series data, we recently observed its great performances in dealing with static image data once the reservoir is set to process certain image features, not the images themselves. Hence, I will discuss possible applications and open questions in reservoir computing.