An AI artist can now provide a glimpse of what the background settings of famous paintings and photos may have looked like. OpenAI, a San Francisco-based company, has created a new tool called'Outpainting' for its text-to-image AI system, DALL-E. Outpainting allows the system to imagine what's outside the frame of famous paintings such as Girl with The Pearl Earring, Mona Lisa and Dogs Playing Poker. As users have shown, it can do this with any kind of image, such as the man on the Quaker Oats logo and the cover of the Beatles album'Abbey Road'. DALL-E relies on artificial neural networks (ANNs), which simulate the way the brain works in order to learn and create an image from text.

DALL-E mini is an online text-to-image generator that has recently exploded in popularity on social media. The program takes a text phrase -- like "mountain sunset", "Eiffel Tower on the moon", or "Obama making a sand castle", -- and creates an image out of it. Can you imagine the ridiculous pics people create?! We need to see more examples, right? On social media, you can find numerous weird Dall-E Mini creations, from Thanos in a Walmart looking for his mother to Jar Jar Binks winning the Great British Bake Off. Let's see just a couple of examples!

It seems that AI-created images have finally made it to the mainstream. On John Oliver's Last Week Tonight, the comedian/commentator dedicated an entire monologue and even a skit to AI programs such as DALL-E. These programs take inputted text data and create images based on the information provided. John Oliver spoke at length about not only the programs that he discovered but also what he found when searching through the images created by users using the program. In one instance, he looked up fellow British comedian, James Corden, who found himself the inspiration of a couple of images, mostly quite comical nature.

A CQUniversity Lecturer in Digital Media is delving into the stunning and strange world of Artificial Intelligence (AI) Art, with a plan to transform digital media courses at CQU. The talented Brendan Murphy has been experimenting with DALL·E 2, which is an AI system that can create realistic images and art from text descriptions. Mr Murphy said the system works by analysing how humans have described images and taps into its memory to produce artwork. "DALL·E 2 is like an art Uber driver who will navigate you through a very complex space to get to the image you want," Mr Murphy said. "The key part of the system is its roadmap, built from AI analysis of a plethora of paired images and text descriptions. "I think the system initially set out to capture subjects, styles and genres, but because human written captions or descriptions accompany every image it analysed, the system also captured moods and emotions.

As someone working in a creative field, I've never been concerned about a computer taking my job. I always felt confident that the tasks required of me as a photo editor for New York Magazine are too complex and messy -- too human -- for an artificial intelligence to perform. That is, until DALL-E 2, a sophisticated AI that generates original artwork based only on text input, opened to public beta last June. It's easy to lose hours on the r/dalle2 subreddit, where beta testers have been posting their work. More often than not, the only way to differentiate a DALL-E creation from a human-generated image is five colorful squares tucked in the bottom right corner of each composition -- DALL-E's signature.

As someone working in a creative field, I've never been concerned about a computer taking my job. I always felt confident that the tasks required of me as a photo editor for New York Magazine are too complex and messy -- too human -- for an artificial intelligence to perform. That is, until DALL-E 2, a sophisticated AI that generates original artwork based only on text input, opened to public beta last June. It's easy to lose hours on the r/dalle2 subreddit, where beta testers have been posting their work. More often than not, the only way to differentiate a DALL-E creation from a human-generated image is five colorful squares tucked in the bottom right corner of each composition -- DALL-E's signature.

This is the development repository of Triton, a language and compiler for writing highly efficient custom Deep-Learning primitives. The aim of Triton is to provide an open-source environment to write fast code at higher productivity than CUDA, but also with higher flexibility than other existing DSLs. The foundations of this project are described in the following MAPL2019 publication: Triton: An Intermediate Language and Compiler for Tiled Neural Network Computations. Please consider citing this work if you use Triton! The official documentation contains installation instructions and tutorials.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Before writing a single word of this article, I created the image above using a new type of AI software that produces "generative artwork." The process took about 15 minutes and did not involve paints or canvases. I simply entered a few lines of text to describe the image that I wanted – a robot holding a paintbrush and standing at an easel.

Jason M. Allen was almost too nervous to enter his first art competition. Now, his award-winning image is sparking controversy about whether art can be generated by a computer, and what, exactly, it means to be an artist. In August, Allen, a game designer who lives in Pueblo West, Colorado, won first place in the emerging artist division's "digital arts/digitally-manipulated photography" category at the Colorado State Fair Fine Arts Competition. His winning image, titled "Théâtre D'opéra Spatial" (French for "Space Opera Theater"), was made with Midjourney -- an artificial intelligence system that can produce detailed images when fed written prompts. A $300 prize accompanied his win.

Text-to-image AI generation tools have entered their wild wild west phase. The sweeping trend which Open AI's DALL.E 2 started with great caution has drastically turned into a world where anything goes. Last week, London and Los Altos-based startup Stability.ai Comparable in quality to DALL.E 2 and Midjourney, the implications of the step taken by Stability.ai Moreover, Stable Diffusion, unlike its predecessors, has next to no restrictions barring users from generating images with inappropriate content or prominent personalities.