We are excited to share that our mini-symposium “Rethinking AI: Energy Efficiency and the Future of Computation” has been accepted to the WCCM-ECCOMAS 2026!
Over the past decade, neural networks have revolutionized computing — but at a steep energy cost. As traditional digital hardware nears its efficiency limits, especially for large AI workloads, new paradigms are emerging to redefine how we compute.
- Neuromorphic computing takes inspiration from the brain, leveraging massive parallelism, event-driven processing, and unified memory-computation units to reduce energy consumption.
- Analog computing exploits the natural dynamics of physical systems — from electrical currents to material properties — to perform computations faster and at lower power than digital processors.
Both approaches promise transformative advances for edge AI and energy-constrained environments. This mini-symposium brings together machine learning researchers and hardware engineers to discuss these topics. Looking forward to sharing insights and collaborating!
The Call for Abstracts will be published on October 31st, and the abstract submission system will open on November 1st. Abstracts must be submitted electronically via the conference website by January 12th, 2026.
Our abstract: https://wccm-eccomas2026.org/event/area/8141d855-ab83-11f0-bce5-000c29ddfc0c
More information about the event: https://wccm-eccomas2026.org/
Date
19-24th July 2026
Location
International Congress Center Munich
81823 Munich