Results 71 to 80 of about 95,139 (292)

Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors

Advanced Electronic Materials, EarlyView.
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár, Tímea Nóra Török, János Volk, Roland Kövecs, László Pósa, Péter Balázs, György Molnár, Nadia Jimenez Olalla, Zoltán Balogh, János Volk, Juerg Leuthold, Miklós Csontos, András Halbritter   +12 more
wiley   +1 more source

Organic Thin‐Film Transistors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy, Mohan V. Jacob, Mostafa Rahimi Azghadi   +2 more
wiley   +1 more source

Reconfigurable, Non‐Volatile Switching in WO3 Film for Resistive Memory and Multistate Programming Toward Energy‐Efficient Neuromorphic Computing Applications

Advanced Electronic Materials, EarlyView.
WO3${\rm WO}_3$ based resistive switching device was precisely controlled and shows the reconfigurable, non‐volatile switching which can be programmable to multi‐resistance states for memory applications. The memory device can also be utilised for low energy neuromorphic application.
Keval Hadiyal, Nagarajan Raghavan, Ramesh Mohan Thamankar   +2 more
wiley   +1 more source

DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

, 2016
Personalized predictive medicine necessitates the modeling of patient illness and care processes, which inherently have long-term temporal dependencies.
A Graves, AB Jensen, BB Granger, J Futoma, JM Corbin, JS Mathias, K Orphanou, PB Jensen, R Henriques, S Hochreiter, SJ Henly, T Tran, T Tran, Y LeCun   +13 more
core   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

Iterative Learning and Extremum Seeking for Repetitive Time-Varying Mappings

, 2017
In this paper, we develop an extremum seeking control method integrated with iterative learning control to track a time-varying optimizer within finite time.
Allgöwer, Frank, Cao, Zhixing, Dürr, Hans-Bernd, Ebenbauer, Christian, Gao, Furong   +4 more
core   +2 more sources

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Laparoscopic Colorectal Surgery in the Era of Robotics: Evolution, Eclipse, or Equilibrium?

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Minimally invasive colorectal surgery has undergone a remarkable transformation over the past three decades. Laparoscopy, once viewed with skepticism, is now firmly established as a standard approach, supported by robust randomized trials demonstrating oncologic safety and improved recovery compared to open surgery.
Amanjeet Singh, Archit Gupta, Azhar Perwaiz, Adarsh Chaudhary   +3 more
wiley   +1 more source

Forecasting inflation using dynamic model averaging [PDF]

We forecast quarterly US inflation based on the generalized Phillips curve using econometric methods which incorporate dynamic model averaging. These methods not only allow for coefficients to change over time, but also allow for the entire forecasting ...
Atkeson A., Fagin S., Fruhwirth‐Schnatter S., Jazwinsky A., Schervish M. J., Smith J.   +5 more
core   +1 more source