United States scientists have combined spatial and temporal attention mechanisms to develop a new approach for PV inverter ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.

The engineering landscape is shifting fast. Technologies keep evolving, and industries now want engineers who don’t just know ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we want these technologies to serve society responsibly, tomorrow’s citizens need ...

Deep learning is no longer the stuff of labs and tech conferences, it’s driving applications you use daily, from voice assistants to medical diagnostic software. With companies competing to bring AI ...

Abstract: In this paper we assess the performance of the new MATLAB Deep Learning Processor. It is a hardware architecture meant for FPGA devices which is able to infer Convolutional Neural Networks.

Abstract: The detection of potholes in asphalt has been a concern in the field of deep learning to identify patterns with the best possible accuracy. In the smart city concept, autonomous cars are ...