Abstract: Recent advances in deep learning have driven significant success in synthetic aperture radar (SAR) automatic target recognition, particularly through convolutional neural network (CNN) based ...

Researchers at the University of Florida have created a silicon photonic chip that uses light to perform AI computations, ...

Think you know the Matrix? Weren't even born when the first Matrix movie came out? Either way, you probably know this world-is-a-computer-simulation sci-fi series by its slo-mo bullets, screens full ...

A team at the University of Florida has developed a new kind of computer chip that uses light with electricity to perform one of the most power-intensive parts of artificial intelligence—image ...

This repo is the official implementation of Efficient 3D Recognition with Event-driven Spike Sparse Convolution. It currently concludes codes and models for the following tasks: 3D Classification: See ...

In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. Understanding mechanisms that facilitate early ...

Abstract: The effectiveness and efficiency of modeling complex spectral–spatial relations are crucial for hyperspectral image (HSI) classification. Most existing methods based on convolution neural ...

Waveshare’s RP2350-Matrix is a Raspberry Pi RP2350A-powered LED matrix board featuring 64 RGB LEDs (8×8 RGB matrix), a built-in 6-axis IMU, and a Dout pin in case the user needs even more LEDs. The ...