Generative AI
Is AI art really art? This California gallery says yes
As artificial intelligence becomes increasingly popular for generating images, a question has roiled the art world: Can AI create art? At bitforms gallery in San Francisco, the answer is yes. An exhibit called "Artificial Imagination" is on display through late December and features works that were created with or inspired by the generative AI system DALL-E as well as other types of AI. With DALL-E, and other similar systems such as Stable Diffusion or Midjourney, a user can type in words and get back an image. August Kamp's 2022 digital image "new experimental version, state of the art" is part of the exhibit "Artificial Imagination" at bitforms gallery in San Francisco. The exhibit features art made with and inspired by OpenAI's AI image generation system DALL-E.
Investigating Prompt Engineering in Diffusion Models
Witteveen, Sam, Andrews, Martin
With the spread of the use of Text2Img diffusion models such as DALL-E 2, Imagen, Mid Journey and Stable Diffusion, one challenge that artists face is selecting the right prompts to achieve the desired artistic output. We present techniques for measuring the effect that specific words and phrases in prompts have, and (in the Appendix) present guidance on the selection of prompts to produce desired effects.
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How Is Artificial Intelligence Changing Art History?
People get up in arms whenever the hand of the artist is detached from the final artwork. "Are photographs real art?" they muttered in the 19th Century. "God I hate this Pollock guy," cried haters witnessing a splattered canvas that the artist seemingly never touched. So it's no wonder that AI image-generators have got art historians in a twist, as more artists make use of these tools to inform their practice. I love diving into what gets people's blood boiling in the art world, and this summer AI crept its way onto the leaderboard of irritants.
Stanford debuts first AI benchmark to help understand LLMs
Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. In the world of artificial intelligence (AI) and machine learning (ML), 2022 has arguably been the year of foundation models, or AI models trained on a massive scale. From GPT-3 to DALL-E, from BLOOM to Imagen -- another day, it seems, another large language model (LLM) or text-to-image model. But until now, there have been no AI benchmarks to provide a standardized way to evaluate these models, which have developed at a rapidly-accelerated pace over the past couple of years. Don't miss our new special issue: Zero trust: The new security paradigm.
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Now picture Lee 43 years later, stumbling onto DALL-E, an artificial intelligence that generates original works of art based on human-supplied prompts that can literally be as simple as "a picture of a train." As he types in words to create image after image, the wow is back. "It feels like a miracle," he says. "When the results appeared, my breath was taken away and tears welled in my eyes. Our machines have crossed a threshold. All our lives, we have been reassured that computers were incapable of being truly creative.
De novo PROTAC design using graph-based deep generative models
PROteolysis TArgeting Chimeras (PROTACs) are an emerging therapeutic modality for degrading a protein of interest (POI) by marking it for degradation by the proteasome. Recent developments in artificial intelligence (AI) suggest that deep generative models can assist with the de novo design of molecules with desired properties, and their application to PROTAC design remains largely unexplored. We show that a graph-based generative model can be used to propose novel PROTAC-like structures from empty graphs. Our model can be guided towards the generation of large molecules (30โ140 heavy atoms) predicted to degrade a POI through policy-gradient reinforcement learning (RL). Rewards during RL are applied using a boosted tree surrogate model that predicts a molecule's degradation potential for each POI.
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To understand how radically gaming is about to be transformed by Generative AI, look no further than this recent Twitter post by @emmanuel_2m. In this post he explores using Stable Diffusion Dreambooth, popular 2D Generative AI models, to generate images of potions for a hypothetical game. What's transformative about this work is not just that it saves time and money while also delivering quality โ thus smashing the classic "you can only have two of cost, quality, or speed" triangle. Artists are now creating high-quality images in a matter of hours that would otherwise take weeks to generate by hand. What's truly transformative is that: There hasn't been a technology this revolutionary for gaming since real-time 3D.
Can There be Art Without an Artist?
Ghosh, Avijit, Fossas, Genoveva
Generative AI based art has proliferated in the past year, with increasingly impressive use cases from generating fake human faces to the creation of systems that can generate thousands of artistic images from text prompts - some of these images have even been "good" enough to win accolades from qualified judges. In this paper, we explore how Generative Models have impacted artistry, not only from a qualitative point of view, but also from an angle of exploitation of artists -- both via plagiarism, where models are trained on their artwork without permission, and via profit shifting, where profits in the art market have shifted from art creators to model owners. However, we posit that if deployed responsibly, AI generative models have the possibility of being a positive, new modality in art that does not displace or harm existing artists.
5 Jobs That Could Be Taken By Artificial Intelligence In The Next 10 Years
AI is everywhere right now. It's been slowly growing in popularity and importance, but recently it's burst into the mainstream with a number of high profile (and very cool) projections and applications. One of the most talked about has been the AI image generation technology such as Dall-E 2, Midjourney and Stable Diffusion. These programs use text prompts to create incredible pictures of scenes and characters which are only limited by the imagination. One guy from Colorado even won a prize for digital art at the State Fair, with an artwork that he created using Midjourney.