Results 131 to 140 of about 21,729 (293)

Reservoir Computing in robotics: a review

, 2022
Reservoir Computing is a relatively new framework created to allow the usage of powerful but complex systems as computational mediums. The basic approach consists in training only a readout layer, exploiting the innate separation and transformation provided by the previous, untrained system.
openaire   +2 more sources

High‐Throughput Digital Decoding of Vascular Heterogeneity in Patient‐Specific Tumor Microenvironments

Advanced Healthcare Materials, EarlyView.
ABSTRACT Quantitative characterization of vascular heterogeneity in complex microphysiological systems (MPS), particularly within patient‐derived tumor microenvironments, remains a major challenge for scalable disease modeling and therapeutic evaluation.
Jungseub Lee, Wooju Park, Sujin Hyung, Sangmin Jung, Kyungho Lee, Junseok Jeon, Noo Li Jeon, Jeeyun Lee, Hye Ryoun Jang, Jihoon Ko   +9 more
wiley   +1 more source

Minimal Reservoir Computing [PDF]

Minimal reservoir computing is a novel machine learning technique for predicting complex systems. It simplifies the classical reservoir computing approach by eliminating the need for randomness. Instead of a random embedding, it embeds its input into
Prosperino, Davide, Räth, Christoph, Ma, Haochun   +2 more
core  

Risk Bounds for Reservoir Computing [PDF]

, 2020
We analyze the practices of reservoir computing in the framework of statistical learning theory. In particular, we derive finite sample upper bounds for the generalization error committed by specific families of reservoir computing systems when ...
Ortega, Juan-Pablo, Gonon, Lukas, Grigoryeva, Lyudmila   +2 more
core  

A Modular Liver–Microbial Microfluidic Platform to Evaluate Therapeutic and Adverse Effects of Microbial Metabolites

Advanced Healthcare Materials, EarlyView.
This study introduces a modular microfluidic platform that connects liver cells with live microbes to mimic key aspects of the gut–liver interaction in steatosis. Using this system, both microbial metabolites and live bacteria significantly reduced fat accumulation in liver cells, but live microbes triggered inflammation and broader metabolic changes ...
Hsih‐Yin Tan, In Young Hwang, Nanthini Jayabalan, Hui Ling Lee, Louis Jun Ye Ong, Chwee Teck Lim, Matthew Wook Chang, Yi‐Chin Toh   +7 more
wiley   +1 more source

A Novel Perfused Full‐Thickness Human Skin Microphysiological System for Modeling Injury, Regeneration, Tumor Pathophysiology, and Therapeutics Development

Advanced Healthcare Materials, EarlyView.
What if human skin could remain fully alive and functional outside the body for weeks? A New Alternative Method (NAM) based on a vascularized full‐thickness skin microphysiological system achieves precisely this, preserving native vasculature, resident immunity, and metabolic activity for up to three weeks, while faithfully recapitulating radiation ...
Yusuf Surucu, Hamid Malekzadeh, Alexa Rivera Del Rio Hernandez, Naresh Mahajan, Ethan Banks, Dayyan Ur Rahman, José A. Arellano, Katherine S. Yang, Alexey Altman, G.V. Naveen Kumar, Matthew L. Steinhauser, Jeffrey A. Gusenoff, J. Peter Rubin, Asim Ejaz   +13 more
wiley   +1 more source

Reservoir Computing in Materio [PDF]

, 2018
Reservoir Computing first emerged as an efficient mechanism for training recurrent neural networks and later evolved into a general theoretical model for dynamical systems.
Dale, Matthew
core  

Mixed‐Metal Promotion in a Manganese‐Molybdenum Oxynitride as Catalyst to Integrate C─C and C─N Coupling Reactions for the Direct Synthesis of Acetonitrile from Syngas and Ammonia

Advanced Materials, EarlyView.
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje, Wilson Henao, Tania Rodenas, Patricia Concepción, Virginia Pérez Dieste, Alexander Missyul, Giovanni Agostini, Gonzalo Prieto   +7 more
wiley   +1 more source

Re‐Purposing a Modular Origami Manipulator Into an Adaptive Physical Computer for Machine Learning and Robotic Perception

Advanced Science
Physical computing has emerged as a powerful tool for performing intelligent tasks directly in the mechanical domain of functional materials and robots, reducing our reliance on the more traditional CMOS computers.
Jun Wang, Suyi Li
doaj   +1 more source

Resolving the Structural Duality of Graphene Grain Boundaries

Advanced Materials, EarlyView.
Cantilever ncAFM resolves the atomic structure of grain boundaries in graphene, revealing coexisting stable and metastable types. Both contain pentagon/heptagon defects, but metastable GBs show irregular geometries. Modeling shows metastable GBs form under compression, exhibiting vertical corrugation, while stable GBs are flat.
Haojie Guo, Emiliano Ventura‐Macías, Mariano D. Jiménez‐Sánchez, Nicoleta Nicoara, Pierre Mallet, Jean‐Yves Veuillen, Vincent T. Renard, Antonio J. Martínez‐Galera, Pablo Pou, Julio Gómez‐Herrero, Rubén Pérez, Iván Brihuega   +11 more
wiley   +1 more source