Tootfinder

Optimisation challenge for superconducting adiabatic neural network implementing XOR and OR boolean functions
D. S. Pashin, M. V. Bastrakova, D. A. Rybin, I. I. Soloviev, A. E. Schegolev, N. V. Klenov
https://arxiv.org/abs/2405.03521

Optimisation challenge for superconducting adiabatic neural network implementing XOR and OR boolean functions
In this article, we consider designs of simple analog artificial neural networks based on adiabatic Josephson cells with a sigmoid activation function. A new approach based on the gradient descent method is developed to adjust the circuit parameters, allowing efficient signal transmission between the network layers. The proposed solution is demonstrated on the example of the system implementing XOR and OR logical operations.

This https://arxiv.org/abs/2311.10526 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Ripped ΛCDM: an observational contender to the consensus cosmological model
Current observations do not rule out the possibility that the Universe might end up in an abrupt event. Different such scenarios may be explored through suitable parameterizations of the dark energy and then confronted to cosmological background data. Here we parameterize a pseudorip scenario using a particular sigmoid function and carry an in-depth multifaceted examination of its evolutionary features and statistical performance. This depiction of a non violent final fate of our cosmos seems t…