Invited Talk at ECI Workshop 2026

Tue, 03 Feb 2026 00:00:00 +0000

On February 3, 2026, I had the opportunity to present our work at the Energy Consequences of Information Workshop 2026, held in Santa Fe, New Mexico, USA.

Our invited talk, “Energy-Efficient Solar Forecasting with a Neuromorphic–Bayesian State Estimation Approach,” explored how integrating reservoir computing with Bayesian filtering can improve forecasting accuracy while maintaining computational efficiency.

The core idea is to combine:

Reservoir Computing (RC) for expressive and energy-efficient temporal modeling
Bayesian state estimation for principled uncertainty quantification and robustness

By embedding neuromorphic-inspired dynamics within a probabilistic filtering framework, we can achieve improved predictive performance without sacrificing scalability — a key requirement for real-world energy systems and grid stability.

Neuromorphic Computing on kan

Invited Talk at ECI Workshop 2026