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Principled neuromorphic reservoir computing.
Nat Commun
January 2025
Neuromorphic Computing Lab, Intel, Santa Clara, CA, USA.
Reservoir computing advances the intriguing idea that a nonlinear recurrent neural circuit-the reservoir-can encode spatio-temporal input signals to enable efficient ways to perform tasks like classification or regression. However, recently the idea of a monolithic reservoir network that simultaneously buffers input signals and expands them into nonlinear features has been challenged. A representation scheme in which memory buffer and expansion into higher-order polynomial features can be configured separately has been shown to significantly outperform traditional reservoir computing in prediction of multivariate time-series.
View Article and Find Full Text PDF[Global surgery-Challenges in the treatment of children with cleft lip and palate].
Chirurgie (Heidelb)
January 2025
Klinik für Mund‑, Kiefer- und Plastische Gesichtschirurgie, Zentrum für Zentrum für Lippen-Kiefer-Gaumenspalten und seltene oro-kranio-faziale Fehlbildungen, Universitätsmedizin Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Deutschland.
Background: Cleft lip and palate is the most frequent malformation in humans that requires surgical correction but is not primarily life-threatening. That is why in many economically not very well developed countries, special surgical care, such as for cleft lip and palate, is not guaranteed at all or is not sufficiently guaranteed, so that numerous aid organizations have been founded for over 50 years to provide help by organizing surgical aid missions. Even if this help seems primarily ethically harmless and very laudable, the lack of rules and instructions unfortunately regularly leads to the fact that legal, ethical and even medical treatment standards are often not observed to the detriment of the affected children.
View Article and Find Full Text PDFEnabling participation in community-dwelling children and young people with acquired brain injuries and their families: a theory-based, evidence-based and person-based approach to intervention development.
BMJ Open
December 2024
Centre for Rehabilitation and Ageing Research, University of Nottingham, Nottingham, UK.
Objective: To codesign and develop an intervention to promote participation and well-being in children and young people (CYP) with acquired brain injury (ABI) and family caregivers.
Design: A complex intervention development study including a scoping review, mixed-methods study, co-design workshop and theoretical modelling.
Setting: Community-dwelling participants in one geographical region of the UK.
[Evolution and research progress of traditional Chinese medicine processing by roasting].
Zhongguo Zhong Yao Za Zhi
December 2024
Shandong Academy of Chinese Medicine Ji'nan 250014, China Key Research Laboratory of Honey and Charcoal Concoction Technology and Principles of Traditional Chinese Medicine, National Administration of Traditional Chinese Medicine Ji'nan 250014, China.
Roasting is a characteristic traditional Chinese medicine(TCM)processing technology, which has a long history. A large number of ancient books recorded the varieties and processing methods of roasted TCM. However, with the evolution of the times, there are relatively few studies on this processing technology in modern times.
View Article and Find Full Text PDFActive Inference and Artificial Spin Ice: Control Processes and State Selection.
ACS Nano
January 2025
Department of Physics and Astronomy, University of Manitoba, Winnipeg R3T 2N2, Canada.
Theory and simulations are used to demonstrate implementation of a variational Bayes algorithm called "active inference" in interacting arrays of nanomagnetic elements. The algorithm requires stochastic elements, and a simplified model based on a magnetic artificial spin ice geometry is used to illustrate how nanomagnets can generate the required random dynamics. Examples of tracking and PID control are demonstrated and shown to be consistent with the original stochastic differential equation formulation of active inference.
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