This new most popular AI image and video generator has enterprise users flocking to it

AI use is becoming increasingly widespread throughout personal, everyday tasks and in the workplace. For personal use, people ...

Apple just dropped a research dataset to help train AI image editing models

Apple has released Pico-Banana-400K, a highly curated 400,000-image research dataset which, interestingly, was built using ...
Communications of the ACM

When Images Fool AI Models

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...

9 fun ChatGPT image prompts that you can try right now

Looking to have fun with ChatGPT? Try some of our favorite image prompts to create and transform your photos with AI.
TMCnet

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...
IEEE

Hyperspectral Image Classification Based on Subgraph-Dependent Neural Network

Abstract: Hyperspectral image classification methods based on subgraph neural networks (SGNNs) are rarely explored, and its advantage is that it can alleviate the neighbor explosion problem. After ...
IEEE

Adversarial Example Generation With Pseudo-Siamese Adversarial Generative Networks for Multimodal Remote Sensing Images

Abstract: In the field of remote sensing, the increasing diversity of remote sensing image modalities has made the integration of multimodal remote sensing image information a prevailing trend to ...