Results 71 to 80 of about 101,043 (267)

Gesture recognition with Brownian reservoir computing using geometrically confined skyrmion dynamics

Nature Communications
Physical reservoir computing leverages the dynamical properties of complex physical systems to process information efficiently, significantly reducing training efforts and energy consumption.
Grischa Beneke, Thomas Brian Winkler, Klaus Raab, Maarten A. Brems, Fabian Kammerbauer, Pascal Gerhards, Klaus Knobloch, Sachin Krishnia, Johan H. Mentink, Mathias Kläui   +9 more
doaj   +1 more source

Magnetic Force Microscopy Signatures of Higher‐Order Skyrmions and Antiskyrmions

Advanced Functional Materials, EarlyView.
Magnetic force microscopy operated under vacuum conditions enables the qualitative identification of higher‐order skyrmions and antiskyrmions in Co/Ni multilayers at room temperature. Distinct stray‐field contrast signatures arise from vertical Bloch lines and complex domain‐wall configurations.
Sabri Koraltan, Joe Sunny, Tamer Karaman, Reshma Peremadathil‐Pradeep, Emily Darwin, Felix Büttner, Dieter Suess, Hans Josef Hug, Manfred Albrecht   +8 more
wiley   +1 more source

Neuromorphic overparameterisation and few-shot learning in multilayer physical neural networks

Nature Communications
Physical neuromorphic computing, exploiting the complex dynamics of physical systems, has seen rapid advancements in sophistication and performance. Physical reservoir computing, a subset of neuromorphic computing, faces limitations due to its reliance ...
Kilian D. Stenning, Jack C. Gartside, Luca Manneschi, Christopher T. S. Cheung, Tony Chen, Alex Vanstone, Jake Love, Holly Holder, Francesco Caravelli, Hidekazu Kurebayashi, Karin Everschor-Sitte, Eleni Vasilaki, Will R. Branford   +12 more
doaj   +1 more source

Principles of Neuromorphic Photonics

, 2017
In an age overrun with information, the ability to process reams of data has become crucial. The demand for data will continue to grow as smart gadgets multiply and become increasingly integrated into our daily lives.
de Lima, Thomas Ferreira, Nahmias, Mitchell A., Peng, Hsuan-Tung, Prucnal, Paul R., Shastri, Bhavin J., Tait, Alexander N.   +5 more
core   +1 more source

Deciphering Small Molecule Diffusion Parameters Across Light Responsive Polymersome Membranes

Advanced Functional Materials, EarlyView.
Light‐responsive polymersomes bearing donor–acceptor Stenhouse adducts (DASAs) enable programmable control over small‐molecule transport across synthetic membranes. By systematically varying DASA density, an optimal functionalization regime is identified that maximizes light‐gated permeability.
Farzina Matubbar, Beyzanur Kaya, Buse Ipek, Tenzin Dorjee, Shoghik Hakobyan, Mohamed Chami, Julien E. Gautrot, Omar Rifaie‐Graham   +7 more
wiley   +1 more source

Highly-integrable analogue reservoir circuits based on a simple cycle architecture

Scientific Reports
Physical reservoir computing is a promising solution for accelerating artificial intelligence (AI) computations. Various physical systems that exhibit nonlinear and fading-memory properties have been proposed as physical reservoirs.
Yuki Abe, Kazuki Nakada, Naruki Hagiwara, Eiji Suzuki, Keita Suda, Shin-ichiro Mochizuki, Yukio Terasaki, Tomoyuki Sasaki, Tetsuya Asai   +8 more
doaj   +1 more source

Dual‐Layer Living Hydrogel Enables On‐Demand Delivery of Phages and Probiotics for Synergistic Wound Infection Therapy

Advanced Functional Materials, EarlyView.
A dual‐layer living hydrogel, ProΦGel, integrates bacteriophages and probiotics for synergistic wound infection therapy. The outer gelatin‐based matrix releases phages on demand in response to P. aeruginosa infections, while inner alginate beads sustain probiotic delivery.
Siyuan Tao, Darine D'Adam, Anna Hu, Sixuan Zhang, Josua Roduner, Katharina Maniura‐Weber, Qun Ren   +6 more
wiley   +1 more source

Restrictions on physical stochastic reservoir computers

Physical Review Applied
Reservoir computation is a recurrent framework for learning and predicting time series data, that benefits from extremely simple training and interpretability, often as the the dynamics of a physical system. In this paper, we will study the impact of noise on the learning capabilities of analog reservoir computers.
openaire   +2 more sources

Electro‐Chemo‐Mechanical Coupling in Hf0.5Zr0.5O2 Ferroionic Heterostructures

Advanced Functional Materials, EarlyView.
Schematic of a ferroionic HZO heterostructure where epitaxial interfaces enable dynamic oxygen‐vacancy exchange, coupling ionic and ferroelectric degrees of freedom. Vacancy‐mediated polarization modulation biases HZO polymorphism, suppresses leakage, and enhances piezoelectric response, yielding distinct butterfly‐loop evolution and diode‐like ...
Achilles Bergne, Denis Alikin, Milica Vasiljevic, Victor B. Tinti, Javier Zamudio‐García, Leonardo Soares de Oliveira, Megan Landberg, Dimitrios Koukoulis, Huaiyu Chen, Jesper Wallentin, David Marrero‐López, Astri Bjørnetun Haugen, Sizhao Huang, Dennis Christensen, Nini Pryds, Alexander Tselev, Andrei Kholkin, Vincenzo Esposito   +17 more
wiley   +1 more source

Fast physical reservoir computing, achieved with nonlinear interfered spin waves

Neuromorphic Computing and Engineering
Reservoir computing is a promising approach to implementing high-performance artificial intelligence that can process input data at lower computational costs than conventional artificial neural networks.
Wataru Namiki, Daiki Nishioka, Takashi Tsuchiya, Kazuya Terabe   +3 more
doaj   +1 more source