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From the 1 of 9 linked papers with an AI index.

most citedSelf-Organising Memristive Networks as Physical Learning Systems

1 citations · 1 across the 6 of their papers we have counts for

collaborators

9 papers

physics.med-ph2026

Roadmap Towards Quantum Entanglement Positron Emission Tomography (QE-PET)

Paweł Moskal, Shiva Abbaszadeh, Harmanjeet Singh Bilkhu +19

The paper outlines the current research and detector development needed to create Quantum Entanglement Positron Emission Tomography (QE‑PET) scanners that exploit polarization enta…

physics.ins-det2026

Positron Emission Tomography with quantum-entangled Compton events: first imaging results at clinically relevant activities

Mihael Makek, Ana Marija Kožuljević, Tomislav Bokulić +4

In Positron Emission Tomography, a potential, yet unutilized enhancement, may come from exploiting the quantum entanglement of the annihilation quanta, inscribed in the correlation…

q-bio.PE2026

Algorithmic bottlenecks in evolution: Genetic code, symbolic language, and the Great Filter hypothesis

Mikhail Prokopenko, Nihat Ay, Angelica Breviario +12

The Great Filter hypothesis proposes that the emergence of technological societies capable of interstellar travel depends on a small number of exceptionally hard and highly improba…

cond-mat.dis-nn2026

Intrinsic Neuro-Synaptic Spiking Dynamics and Resonance in Memristive Networks

Yinhao Xu, Georg A. Gottwald, Zdenka Kuncic

Self-organizing memristive networks are physical circuits that dynamically reconfigure their circuitry in response to external input signals. Their adaptive behavior arises from in…

cond-mat.dis-nn20261 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…

eess.SP2026

Thermal Anomaly Detection using Physics Aware Neuromorphic Networks: Comparison between Raw and L1C Sentinel-2 Data

Stephen Smith, Cormac Purcell, Gabriele Meoni +2

Damage caused by bushfires and volcanic eruptions escalates rapidly when detection is delayed, making fast and reliable early warning capabilities essential. Recent Earth Observati…