Results 21 to 30 of about 44,340 (259)
Being capable of dealing with both electrical signals and light, artificial optoelectronic synapses are considered to be an important cornerstone of neuromorphic computing.
Yangzhou Qian +9 more
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Neuromorphic hardware with a spiking neural network (SNN) can significantly enhance the energy efficiency for artificial intelligence (AI) functions owing to its event‐driven and spatiotemporally sparse operations.
Joon‐Kyu Han +9 more
doaj +1 more source
BackgroundThe mechanism by which combined oral contraceptives (COCs) lead to hypercoagulation is not fully understood, although activated protein C (APC) pathway resistance has been implicated.
Marisa Ninivaggi +6 more
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A simple MOSFET model of an artificial synapse [PDF]
A simple analog-signal synapse model is developed and later implemented on a standard 0.35 /spl mu/m CMOS process to provide for large scale of integration, high processing speed and manufacturability of a multi-layer artificial neural network. Synapse nonlinearity with respect to synapse weight is studied. Demonstrated is the capability of the circuit
openaire +1 more source
Epidemiological data on the association between fibrinogen levels and mortality are scarse and controversial. Longitudinal analyses were performed, separately by sex, on 17,689 individuals from the Moli-sani study [53% women, ≥35 years, free from ...
Roberta Parisi +12 more
doaj +1 more source
Hardware neural networks with mechanical flexibility are promising next‐generation computing systems for smart wearable electronics. Several studies have been conducted on flexible neural networks for practical applications; however, developing systems ...
Hyeongwook Kim +8 more
doaj +1 more source
Artificial synaptic devices based on natural organic materials are becoming the most desirable for extending their fields of applications to include wearable and implantable devices due to their biocompatibility, flexibility, lightweight, and scalability.
Youngjin Kim +4 more
doaj +1 more source
Resistive random-access memory (RRAM) is a new memory technology that can not only realize high-density storage, but also can simulate the neural synapse for use in artificial intelligence applications. In this study, we propose an RRAM device that shows
Zhiliang Chen +9 more
doaj +1 more source
Thrombin generation remains stable in frozen plasma over long-term storage
Background: The ST Genesia is a fully automated thrombin generation (TG) device. Measuring TG can be useful for medical purposes as it is an indicator for the bleeding or thrombotic risk of a patient.
A. Carlo +3 more
doaj +1 more source
Graphene-Based Artificial Synapses with Tunable Plasticity
Design and implementation of artificial neuromorphic systems able to provide brain akin computation and/or bio-compatible interfacing ability are crucial for understanding the human brain’s complex functionality and unleashing brain-inspired computation’s full potential.
He Wang 0013 +3 more
openaire +4 more sources

