Results 41 to 50 of about 5,938,476 (293)
The role of all-optical neural networks
In light of recent achievements in optical computing and machine learning, we consider the conditions under which all-optical computing may surpass electronic and optoelectronic computing in terms of energy efficiency and scalability. When considering the performance of a system as a whole, the cost of memory access and data acquisition is likely to be
Michal Matuszewski +2 more
openaire +3 more sources
Approximation in shift-invariant spaces with deep ReLU neural networks [PDF]
We study the expressive power of deep ReLU neural networks for approximating functions in dilated shift-invariant spaces, which are widely used in signal processing, image processing, communications and so on.
Wang, Yang +5 more
core +1 more source
On stability and model order reduction of perturbed nonlinear neural networks [PDF]
In this paper, the qualitative theory of large-scale dynamical systems is surveyed. In particular, the focus is the Hopfield Neural networks both with and without perturbations.
G. G. Grahovski +6 more
core +3 more sources
Robust Local Cluster Neural Networks (ESANN) [PDF]
Eickhoff R, Sitte J, Rückert U. Robust Local Cluster Neural Networks (ESANN). In: Proceedings of the 14th European Symposium on Artificial Neural Networks (ESANN).
Eickhoff, Ralf +3 more
core
ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess +5 more
wiley +1 more source
Partitionable High-Efficiency Multilayer Diffractive Optical Neural Network
A partitionable adaptive multilayer diffractive optical neural network is constructed to address setup issues in multilayer diffractive optical neural network systems and the difficulty of flexibly changing the number of layers and input data size.
Yongji Long +5 more
doaj +1 more source
Analyzing the Sensitivity of Deep Neural Networks for Sentiment Analysis: A Scoring Approach
Part of IEEE WCCI 2020 is the world’s largest technical event on computational intelligence, featuring the three flagship conferences of the IEEE Computational Intelligence Society (CIS) under one roof: The 2020 International Joint Conference on Neural ...
Wei Emma Zhang +7 more
core +1 more source
Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy
The increasing prevalence of viral diseases represents a major threat for global human health. Nanobodies, small binding fragments derived from camelid heavy‐chain antibodies, offer versatile tools for viral research, diagnostics, and antiviral therapy.
Domenic Ebert, Ulrich Rothbauer
wiley +1 more source
A Model for Programmability and Virtuality in Dynamical Neural Networks [PDF]
In this dissertation a fixed-weight architecture for Continuous Time Recurrent Neural Networks (CTRNNs) is proposed in order to give an account for biological phenomena, controlled by neuronal activity, in which changes of behavior occur so fast that ...
Donnarumma, Francesco
core +1 more source
Visible light communication can be leveraged to establish a wireless link between neurons in spiking networks even when neural areas are in relative motions.
George‐Iulian Uleru +4 more
doaj +1 more source

