Titlebook: Special Topics in Information Technology; Barbara Pernici Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) and The Author(s) 2020 Informati

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Modeling and Simulation of Spiking Neural Networks with Resistive Switching Synapsescognition and inference by running intensively neural networks with deep learning on high-performance computing platforms. However, excessive computational time and power consumption required for achieving such performance make AI inefficient compared with human brain. To replicate the efficient ope

爱国者

Learning and Adaptation to Detect Changes and Anomalies in High-Dimensional Datas has relevant applications in many real scenarios, such as health monitoring and quality inspection of industrial processes. A general approach often adopted in the literature is to learn a model to describe normal data and detect as anomalous those data that do not conform to the learned model. Ho

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Dynamic Application Autotuning for Self-aware Approximate Computinge computation efficiency, this Chapter focuses on a software-level methodology to enhance a target application with an adaptive layer that provides self-optimization capabilities. We evaluated the benefits of dynamic autotuning in three case studies: a probabilistic time-dependent routing applicatio

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CAOS: CAD as an Adaptive Open-Platform Service for High Performance Reconfigurable Systems and heterogeneous systems in order to keep up with the required performance level at sustainable power consumption. Among the available solutions, Field Programmable Gate Arrays (FPGAs), thanks to their advancements, currently represent a very promising candidate, offering a compelling trade-off be

prick-test

A General Framework for Shared Control in Robot Teleoperation with Force and Visual Feedbackh human users to accomplish complex tasks. In this scenario, robotics engineers are required to take the human component into account in the robot design and control. This is especially true in telerobotics, where interaction with the user plays an important role in the controlled system stability.

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Common reed,are distinguished: optimal and restricted populations. This ecotypic differentiation is reflected in the physiological requirements. As a species common reed can occur in a wide range of environmental conditions, determined by a number of physical and chemical factors like oxygen, water, temperature