Results 101 to 110 of about 22,182 (296)
Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces
System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee +9 more
wiley +1 more source
Second Quantization Formalism (notes, september 2018)
These briefs notes introduce the second quantization formalism for the quantum treatment of poly-electronic ...
Paniagua, Juan Carlos
core
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Unmanned ship heading tracking control strategy with state quantization and input quantization
ObjectiveThis paper develops a heading tracking design strategy for unmanned ships with state quantization and input quantization in order to address the problem of limited communication at sea for unmanned ships on the water surface.Methods First, a ...
Wei LI, Yu WANG, Jun NING, Zhihui LI
doaj +1 more source
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu +11 more
wiley +1 more source
Custom Network Quantization Method for Lightweight CNN Acceleration on FPGAs
The low-bit quantization can effectively reduce the deep neural network storage as well as the computation costs. Existing quantization methods have yielded unsatisfactory results when being applied to lightweight networks.
Lingjie Yi +4 more
doaj +1 more source
Second Quantization of Recurrences
By cyclically extending recurrences, we find a hierarchy of hierarchies of identities. The technique employed was developed for finding matching polynomials of cyclically labelled paths.
McSorley, John P, Feinsilver, Philip
core
Second quantization of open quantum systems in Liouville space
We present a general theoretical framework based on second quantization in Liouville space to treat open quantum systems. We consider an ensemble of a fixed number of quantum emitters characterized by a discrete set of quantum states.
Benediktovitch, Andrei +3 more
core
A nanoporous SiO2 memristor enabling reconfigurable volatile and non‐volatile switching within a single device is demonstrated. The dual‐mode functionality supports both physical reservoir dynamics and synaptic weight storage, allowing unified hardware implementation of reservoir computing for temporal information processing, including image and ...
Bohao Ding +5 more
wiley +1 more source
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng +11 more
wiley +1 more source

