Results 41 to 50 of about 5,251,071 (187)
Network Modeling of Murine Lymphatic System
Animal models of diseases, particularly mice, are considered to be the cornerstone for translational research in immunology. The aim of the present study is to model the geometry and analyze the network structure of the murine lymphatic system (LS).
Dmitry Grebennikov+4 more
doaj +1 more source
Federated Learning via Over-the-Air Computation [PDF]
The stringent requirements for low-latency and privacy of the emerging high-stake applications with intelligent devices such as drones and smart vehicles make the cloud computing inapplicable in these scenarios.
Kai Yang+3 more
semanticscholar +1 more source
On the dimensionality of odor space
There is great interest in understanding human olfactory experience from a principled and quantitative standpoint. The comparison is often made to color vision, where a solid framework with a three-dimensional perceptual space enabled a rigorous search ...
Markus Meister
doaj +1 more source
Computing Offloading and Semantic Compression for Intelligent Computing Tasks in MEC Systems [PDF]
This paper investigates the intelligent computing task-oriented computing offloading and semantic compression in mobile edge computing (MEC) systems. With the popularity of intelligent applications in various industries, terminals increasingly need to offload intelligent computing tasks with complex demands to MEC servers for computing, which is a ...
arxiv +1 more source
Geometric Quantum Computation [PDF]
We describe in detail a general strategy for implementing a conditional geometric phase between two spins. Combined with single-spin operations, this simple operation is a universal gate for quantum computation, in that any unitary transformation can be ...
Artur Ekert+10 more
core +3 more sources
Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices [PDF]
Mobile-edge computing (MEC) is an emerging paradigm to meet the ever-increasing computation demands from mobile applications. By offloading the computationally intensive workloads to the MEC server, the quality of computation experience, e.g., the ...
Yuyi Mao, Jun Zhang, K. Letaief
semanticscholar +1 more source
While there is an abundance of research on neural networks that are “inspired” by the brain, few mimic the critical temporal compute features that allow the brain to efficiently perform complex computations.
Bill Zivasatienraj, W. Alan Doolittle
doaj +1 more source
Computation and Analysis of Multiple Structural-Change Models
In a recent paper, Bai and Perron (1998) considered theoretical issues related to the limiting distribution of estimators and test statistics in the linear model with multiple structural changes.
Jushan Bai, Pierre Perron
semanticscholar +1 more source
Dendritic nonlinearities are tuned for efficient spike-based computations in cortical circuits
Cortical neurons integrate thousands of synaptic inputs in their dendrites in highly nonlinear ways. It is unknown how these dendritic nonlinearities in individual cells contribute to computations at the level of neural circuits.
Balázs B Ujfalussy+3 more
doaj +1 more source
Money as a computational machine
This article presents a speculative philosophical account of money as a computational machine. It does so by leveraging a computational and machinic framework, drawing primarily from the work of Philip Mirowski and Jean Cartelier. The argument is focused
Inigo Wilkins, Bogdan Dragos
doaj +1 more source