Reservoir-computing based associative memory and itinerancy for complex dynamical attractors

Reservoir-computing based associative memory and itinerancy for complex dynamical attractors

Index-based reservoir-computing memory In the “location-addressable” or “parameter-addressable” scenario, the stored memory states within the neural network are activated by a specific location address or an index parameter. The stimulus that triggers the system to switch states can be entirely unrelated to the content of the activated state, and the pair linking the memory states …

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Impacts of internet access and use on grain productivity: evidence from Central China

Impacts of internet access and use on grain productivity: evidence from Central China

Measurement of technical efficiency Stochastic frontier analysis (SFA) has been widely used to calculate the TE of grain production at the farm level (Latruffe et al., 2004; Cullinane et al., 2006). We choose the trans-log production function rather than the Cobb-Douglas function in analyzing input factor substitution. This choice is supported by the likelihood ratio …

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Quantum computing for several AGV scheduling models

Quantum computing for several AGV scheduling models

AGV scheduling problems have many classifications according to different scenarios and considerations. For example, consider the time window of the task, joint optimization of scheduling and path, cooperation with other devices, charging strategy and so on. Due to the limitation of quantum bits of CIM, it is impossible to solve the AGV scheduling problem in …

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The potential use of artificial intelligence for venous thromboembolism prophylaxis and management: clinician and healthcare informatician perspectives

The potential use of artificial intelligence for venous thromboembolism prophylaxis and management: clinician and healthcare informatician perspectives

Healthcare informatician—respondent characteristics Of 101 respondents to the healthcare informatician survey, a majority were greater than 40 years old (54.5%), male (62.0%), and white (70.1%) (Table 1). Respondents could identify as more than one role; most were clinicians (44.6%), followed by data scientists (36.6%). Most respondents reported that they had been practicing in informatics for more than …

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Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip

Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip

Design philosophy Whether leveraged as small stand-alone applications or employed as edge nodes to build larger systems, edge devices call for edge hardware with unprecedented low latency and low power. In theory, neuromorphic intelligence is well suited for edge computing scenarios as it can perceive and process information sparsely. In this work, we propose a …

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Controlling chaos using edge computing hardware

Controlling chaos using edge computing hardware

An overview of our prototype chaotic circuit and nonlinear control system is shown in Fig. 1. The chaotic circuit (known as the “plant” in the control literature) consists of passive components including diodes, capacitors, resistors, and inductors, and an active negative resistor realized with an operational amplifier that can source and sink power to the rest …

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The mediating effect of internet addiction and the moderating effect of physical activity on the relationship between alexithymia and depression

The mediating effect of internet addiction and the moderating effect of physical activity on the relationship between alexithymia and depression

Cerutti, R., Zuffianò, A. & Spensieri, V. The role of difficulty in identifying and describing feelings in non-suicidal self-injury behavior (NSSI): Associations with perceived attachment quality, stressful life events, and suicidal ideation. Front. Psychol. 9, 318 (2018). PubMed  PubMed Central  Google Scholar  Bagby, R. M., Parker, J. D. & Taylor, G. J. The twenty-item toronto …

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Edge computing based real-time Nephrops (Nephrops norvegicus) catch estimation in demersal trawls using object detection models

Edge computing based real-time Nephrops (Nephrops norvegicus) catch estimation in demersal trawls using object detection models

The dataset The datasets used in model training and evaluation of the methodology are generated from the videos recorded on June 27, 2020, on commercial Nephrops grounds in Skagerrak using an underwater stereo camera system13,20. The YOLO models require images with bounding box annotations for training. Therefore, a dataset of 4044 images was generated from …

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Terahertz binary computing in a coupled toroidal metasurface

Terahertz binary computing in a coupled toroidal metasurface

The study of Boolean operations is done via the change in the distance between the central resonator and the two other split resonators on the side of the central resonator. The initial configuration that was analyzed had a symmetrical structure with both the C resonators at a distance \(d_1=d_2=10\,\upmu\)m from the central SRR. The transmission …

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Tunable stochastic memristors for energy-efficient encryption and computing

Tunable stochastic memristors for energy-efficient encryption and computing

Influence of CuxTe1-x compositions on the resistive switching behavior The CuxTe1-xHO memristors have different switching behaviors depending on the Cu concentration (x) in the CuxTe1-x electrode. It exhibits volatile threshold switching (TS) behavior at x = 0.1 (Cu0.1Te0.9/HfO2, Fig. 1a, Supplementary Note 1 and Supplementary Fig. 1)10,11,12,13,14, and nonvolatile resistive switching (RS) behavior at x = 0.3 and 0.6. Figure 1b displays the …

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