2 citations · 3 across the 2 of their papers we have counts for
2 papers
cond-mat.dis-nn2025★ 1 cited
Self-Organising Memristive Networks as Physical Learning Systems
Francesco Caravelli, Gianluca Milano, Adam Z. Stieg +3
Learning with physical systems is an emerging paradigm that seeks to harness the intrinsic nonlinear dynamics of physical substrates for learning. The impetus for a paradigm shift…
cs.NI2023★ 2 cited
Securing Autonomous Air Traffic Management: Blockchain Networks Driven by Explainable AI
Louise Axon, Dimitrios Panagiotakopoulos, Samuel Ayo +7
Air Traffic Management data systems today are inefficient and not scalable to enable future unmanned systems. Current data is fragmented, siloed, and not easily accessible. There i…