Results 51 to 60 of about 1,932,721 (285)

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

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

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

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  

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

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

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  

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

FEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge, Vivian Pogenberg, Alexander Baumgart, Bente Siebels, Hartmut Schlüter, Michael Hecht‐Bucher, Aymelt Itzen   +6 more
wiley   +1 more source

Enhancing the performance of quantum reservoir computing and solving the time-complexity problem by artificial memory restriction

Physical Review Research
We propose a scheme that can enhance the performance and reduce the computational cost of quantum reservoir computing. Quantum reservoir computing is a computing approach which aims at utilizing the complexity and high dimensionality of small quantum ...
Saud Čindrak, Brecht Donvil, Kathy Lüdge, Lina Jaurigue   +3 more
doaj   +1 more source