Abstract: In recent years, numerous designs have used systolic arrays to accelerate convolutional neural network (CNN) inference. In this work, we demonstrate that we can further speed up CNN ...

Abstract: To address the degradation in radiation performance caused by external deformations in variable-curvature cylindrical conformal antenna arrays, this letter proposes a real-time beam pattern ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

According to Sawyer Merritt, Tesla utilizes footage from its extensive vehicle fleet to synthetically generate new driving scenarios, enhancing the safety and robustness of its self-driving software.

A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.

ABSTRACT: With the advent of the 5G and future 6G, base stations will be used as station controllers. The antenna systems are networked and equipped with a processor to optimize the detection of ...

A graphical user interface for creating "DeepDream" images. Uses Mathworks' pretrained convolutional neural networks. Requires Neural Network Toolbox and AlexNet support package.