Results 211 to 220 of about 35,610 (262)

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
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, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Confined-hydrogel fluidic memristor crossbar array for neuromorphic computing. [PDF]

Nat Commun
Guo G, Xiong T, Xie B, Zhang J, Zhang J, Lu Y, Zhao Y, Ma W, Pan C, Jiang Y, Mao L, Wang J, Yu P.   +12 more
europepmc   +1 more source

Forecasting deep shale gas production using a ROA-optimized Transformer-Mamba hybrid network. [PDF]

Sci Rep
He W, Li X, Wan Y, Wang N, Zhan H, Pei X, Wang L, Yu W, Zhou Y.   +8 more
europepmc   +1 more source

Integrated Optothermal Paperfluidic Platform for Single-Step, Model-Driven CRISPR-Cas12a Diagnostics of <i>Mycobacterium tuberculosis</i>. [PDF]

ACS Omega
Thepbut A, Rupprom T, Thant LT, Nyein HK, Compiro P, Kaewsapsak P, Hannanta-Anan P.   +6 more
europepmc   +1 more source

Scalable photonic reservoir computing for parallel machine learning tasks. [PDF]

Nat Commun
Aadhi A, Di Lauro L, Fischer B, Dmitriev P, Alamgir I, Mazoukh C, Perron N, Viktorov EA, Kovalev AV, Eshaghi A, Vakili S, Chemnitz M, Roztocki P, Little BE, Chu ST, Moss DJ, Morandotti R.   +16 more
europepmc   +1 more source

Remote sensing-based landslide prediction and risk assessment using a hybrid CNN-LSTM deep learning model. [PDF]

Sci Rep
Teng F, Ekraminia SS, Zarei A, Li Y.
europepmc   +1 more source

Integrating 3D structural modelling and seismic interpretation to optimize hydrocarbon development in the Early Miocene Nukhul Formation, October Oil Field, Gulf of Suez, Egypt. [PDF]

Sci Rep
Khattab MA, Radwan AE, El-Anbaawy MI, El-Tehiwy AA.   +3 more
europepmc   +1 more source

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Hierarchical Memcapacitive Reservoir Computing Architecture

2019 IEEE International Conference on Rebooting Computing (ICRC), 2019
The quest for novel computing architectures is currently driven by (1) machine learning applications and (2) the need to reduce power consumption. To address both needs, we present a novel hierarchical reservoir computing architecture that relies on energy-efficient memcapacitive devices.
Tran, S. J. Dat, Teuscher, Christof
openaire   +2 more sources

FREEMAN'S K MODELS AS RESERVOIR COMPUTING ARCHITECTURES

New Mathematics and Natural Computation, 2009
Walter Freeman in his classic 1975 book "Mass Activation of the Nervous System" presented a hierarchy of dynamical computational models based on studies and measurements done in real brains, which has been known as the Freeman's K model (FKM). Much more recently, liquid state machine (LSM) and echo state network (ESN) have been proposed as universal ...
MUSTAFA C. OZTURK, JOSE C. PRINCIPE
openaire   +2 more sources

Simplifying Deep Reservoir Architectures. [PDF]

, 2020
We study the impact of architectural simplifications to the design of deep Reservoir Computing (RC) models. To do so, we analyze the effects of shaping the structure of reservoir matrices, reducing the complexity of the deep recurrent network to a minimal setup.
Claudio Gallicchio, Alessio Micheli, Antonio Sisbarra   +2 more
openaire