AIMC Topic: Computers
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Vehicle Safety-Assisted Driving Technology Based on Computer Artificial Intelligence Environment.
Computational intelligence and neuroscience
Jun 18, 2022
In this paper, we propose an assisted driving system implemented with a Jetson nano-high-performance embedded platform by using machine vision and deep learning technologies. The vehicle dynamics model is established under multiconditional assumption...
Training much deeper spiking neural networks with a small number of time-steps.
Neural networks : the official journal of the International Neural Network Society
Jun 15, 2022
Spiking Neural Network (SNN) is a promising energy-efficient neural architecture when implemented on neuromorphic hardware. The Artificial Neural Network (ANN) to SNN conversion method, which is the most effective SNN training method, has successfull...
Simulation platform for pattern recognition based on reservoir computing with memristor networks.
Scientific reports
Jun 14, 2022
Memristive systems and devices are potentially available for implementing reservoir computing (RC) systems applied to pattern recognition. However, the computational ability of memristive RC systems depends on intertwined factors such as system archi...
Pangea: An MLOps Tool for Automatically Generating Infrastructure and Deploying Analytic Pipelines in Edge, Fog and Cloud Layers.
Sensors (Basel, Switzerland)
Jun 11, 2022
Development and operations (DevOps), artificial intelligence (AI), big data and edge-fog-cloud are disruptive technologies that may produce a radical transformation of the industry. Nevertheless, there are still major challenges to efficiently applyi...
Quantum Perturbation Theory Using Tensor Cores and a Deep Neural Network.
Journal of chemical theory and computation
Jun 7, 2022
Time-independent quantum response calculations are performed using Tensor cores. This is achieved by mapping density matrix perturbation theory onto the computational structure of a deep neural network. The main computational cost of each deep layer ...
Design Space Exploration of a Sparse MobileNetV2 Using High-Level Synthesis and Sparse Matrix Techniques on FPGAs.
Sensors (Basel, Switzerland)
Jun 7, 2022
Convolution Neural Networks (CNNs) are gaining ground in deep learning and Artificial Intelligence (AI) domains, and they can benefit from rapid prototyping in order to produce efficient and low-power hardware designs. The inference process of a Deep...
A Learning-Rate Modulable and Reliable TiO Memristor Array for Robust, Fast, and Accurate Neuromorphic Computing.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Jun 5, 2022
Realization of memristor-based neuromorphic hardware system is important to achieve energy efficient bigdata processing and artificial intelligence in integrated device system-level. In this sense, uniform and reliable titanium oxide (TiO ) memristor...
Automated segmentation of head CT scans for computer-assisted craniomaxillofacial surgery applying a hierarchical patch-based stack of convolutional neural networks.
International journal of computer assisted radiology and surgery
Jun 3, 2022
PURPOSE: Computer-assisted techniques play an important role in craniomaxillofacial surgery. As segmentation of three-dimensional medical imaging represents a cornerstone for these procedures, the present study was aiming at investigating a deep lear...
Reservoir Memory Machines as Neural Computers.
IEEE transactions on neural networks and learning systems
Jun 1, 2022
Differentiable neural computers (DNCs) extend artificial neural networks with an explicit memory without interference, thus enabling the model to perform classic computation tasks, such as graph traversal. However, such models are difficult to train,...
Neuromorphic Time-Multiplexed Reservoir Computing With On-the-Fly Weight Generation for Edge Devices.
IEEE transactions on neural networks and learning systems
Jun 1, 2022
The human brain has evolved to perform complex and computationally expensive cognitive tasks, such as audio-visual perception and object detection, with ease. For instance, the brain can recognize speech in different dialects and perform other cognit...
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