Results 51 to 60 of about 21,729 (293)

Catch-22s of reservoir computing

Physical Review Research, 2023
Reservoir computing (RC) is a simple and efficient model-free framework for forecasting the behavior of nonlinear dynamical systems from data. Here, we show that there exist commonly-studied systems for which leading RC frameworks struggle to learn the ...
Yuanzhao Zhang, Sean P. Cornelius
doaj   +1 more source

Reservoir computing with a chaotic circuit [PDF]

Proceedings of the 14th European Conference on Artificial Life ECAL 2017, 2017
Reservoir Computing has been highlighted as a promising methodology to perform computation in dynamical systems. This makes Reservoir Computing particularly interesting for exploiting physical systems directly as computing substrates, where the computation happens “for free” in the rich physical domain. In this work we consider a simple chaotic circuit
Jensen, Johannes, Tufte, Gunnar
openaire   +2 more sources

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Potential implementation of reservoir computing models based on magnetic skyrmions

AIP Advances, 2018
Reservoir Computing is a type of recursive neural network commonly used for recognizing and predicting spatio-temporal events relying on a complex hierarchy of nested feedback loops to generate a memory functionality.
George Bourianoff, Daniele Pinna, Matthias Sitte, Karin Everschor-Sitte   +3 more
doaj   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

Predicting User Movements in Heterogeneous Indoor Environments by Reservoir Computing [PDF]

, 2011
Anticipating user localization by making accurate predictions on its indoor movement patterns is a fundamental challenge for achieving higher degrees of personalization and reactivity in smarthome environments.
Bacciu, Davide, P. Barsocchi, Micheli, Alessio, Gallicchio, Claudio, Barsocchi, Paolo, Chessa, Stefano   +5 more
core  

Reservoir Computing Framework in Apache Flink [PDF]

, 2020
Zpracovávání datových proudů je populární metodou pro strojové učení díky potřebě analyzovat velké množství dat v reálném čase. Perspektivními se stávají škálovatelná řešení používající počítačové clustery a zpracovávání dat v reálném čase.
Hynek Noll
core  

Toward grouped-reservoir computing: organic neuromorphic vertical transistor with distributed reservoir states for efficient recognition and prediction

Nature Communications
Reservoir computing has attracted considerable attention due to its low training cost. However, existing neuromorphic hardware, focusing mainly on shallow-reservoir computing, faces challenges in providing adequate spatial and temporal scales ...
Changsong Gao, Di Liu, Chenhui Xu, Weidong Xie, Xianghong Zhang, Junhua Bai, Zhixian Lin, Cheng Zhang, Yuanyuan Hu, Tailiang Guo, Huipeng Chen   +10 more
doaj   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Reservoir characterization using support vector machines [PDF]

, 2005
Reservoir characterization especially well log data analysis plays an important role in petroleum exploration. This is the process used to identify the potential for oil production at a given source.
Wong, K.W., Fung, C.C., Gedeon, T., Ong, Y.S.   +3 more
core   +1 more source