/explore
|
You are here 
|
www.trudy.computer | ||
| | | | |
www.lesswrong.com
|
|
| | | | | 1. This is a (lightly edited) transcript of a lightning talk I gave during the Virtual AI Safety Camp 2022. The original talk in video format can be... | |
| | | | |
jmsbrdy.com
|
|
| | | | | A machine learning approach called CycleGAN has been shown to be effective at transforming an image from one style to another. Perhaps turning a photo into a Monet-style painting, or changing a picture of a horse into that of a zebra. However, I wanted to try to use the approach on a more challenging transformation: turning audio data into an aesthetically-pleasing image to illustrate the latent structure of music. | |
| | | | |
blog.otoro.net
|
|
| | | | | [AI summary] This text discusses the development of a system for generating large images from latent vectors, combining Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). It explores the use of Conditional Perceptual Neural Networks (CPPNs) to create images with specific characteristics, such as style and orientation, by manipulating latent vectors. The text also covers the ability to perform arithmetic on latent vectors to generate new images and the potential for creating animations by transitioning between different latent states. The author suggests future research directions, including training on more complex datasets and exploring alternative training objectives beyond Maximum Likelihood. | |
| | | | |
www.wired.com
|
|
| | | Tech luminaries, renowned scientists, and Elon Musk warn of an "out-of-control race" to develop and deploy ever-more-powerful AI systems. | ||
