Materials possessing flexible physico-chemical properties that adapt
on-...
Machine learning (ML) on graph-structured data has recently received dee...
The development and adoption of artificial intelligence (AI) technologie...
The term “neuromorphic” refers to systems that are closely resembling th...
Knowledge graphs are an expressive and widely used data structure due to...
Relational representation learning has lately received an increase in
in...
Machine learning on graph-structured data has recently become a major to...
Computing latent representations for graph-structured data is an ubiquit...
Machine learning techniques are gaining attention in the context of intr...
Despite the recent success of reconciling spike-based coding with the er...
We present first experimental results on the novel BrainScaleS-2 neuromo...
For a biological agent operating under environmental pressure, energy
co...
An increasing body of evidence suggests that the trial-to-trial variabil...
The traditional von Neumann computer architecture faces serious obstacle...