The central aim is to explore how Physical AI can facilitate computation offloading from software to physical systems.
Presentation of concepts at the VIII ITQ Winter Meeting
Discussion on the theoretical framework and potential applications
Illustration of key examples and models in physical AI
Demonstrated efficiency gains in computational tasks through physical implementations
Highlighted reduced energy consumption compared to traditional software methods
Proposed future directions for research in integration of physics and AI
Abstract
Poster presented by Jitendra Kumar at the VIII ITQ Winter Meeting of the Instituto de Tecnología Química (ITQ, CSIC-UPV), València, Spain, on 10 February 2026.