Fal's new model FLUX.2 [dev] Turbo is a distilled, ultra-fast image generation model that’s already outperforming many of its ...

AI content generators have complicated terms of service, making your content almost impossible to get copyrighted.

With more realistic images than before, GPT Image 1.5 fares reasonably well against Google's Nano Banana Pro in my testing.

A production-ready deep learning project for time-series image classification using EfficientNet/NFNet with PyTorch Lightning. This project implements transfer learning for multi-class classification ...

ChatGPT impressed me with its speed — none of the stock images looked like computer-generated garbage. However, Nano Banana Pro has the upper hand because it consistently generated more realistic ...

You’d be forgiven if you can’t hum the 18th-century Cumbrian folk song “Do Ye Ken John Peel.” But in 1942, a version of that ...

Sora, from OpenAI, burst onto the scene in early 2024 and really got people talking, especially about deepfakes. It feels ...

Abstract: Modern image recognition has experienced dramatic improvements because of Machine Learning and Deep Learning algorithms together. This study investigates CNNs and SVMs for recognition ...

Chess is an ideal game to study when it comes to artificial intelligence because it is popular, has well-defined rules, and has not yet been fully solved. The game emerged in the 15th century and is ...

Abstract: Convolutional Neural Networks (CNNs) have shown significant success in the low-light image enhancement task. However, most of existing works encounter challenges in balancing quality and ...

Discover how to build a simple electromagnetic motor and generator using everyday materials in this hands-on science experiment. Follow the detailed steps to assemble a motor with a plastic bottle cap ...

This project implements DCGAN (Deep Convolutional GAN) for generating realistic images. The architecture uses convolutional layers in both generator and discriminator networks. It includes batch ...