Who Really Owns AI Art? What Businesses Need To Know

A comparative analysis of text-to-image generative AI models in scientific contexts: a case study on nuclear power Scientific Reports

For example, in wealth management, GenAI helps banks like Wells Fargo suggest optimal investment strategies and create customized portfolios based on individual risk appetites. If you are using an image that is entirely created by an AI image generator, you should disclose that wherever you are sharing it. Today Black Forest Labs is taking this a step further, announcing the release of the FLUX Pro Finetuning API, a tool that empowers creators to customize generative AI models using their own images and concepts. Shue also noted there are many “disturbing moral implications” related to organizations using AI models to determine personalities. “I do worry this could be used in a way — to put lightly — it could make a lot of people unhappy,” she said.

Tools for human imagination – Runway

Tools for human imagination.

Posted: Tue, 30 Jul 2024 14:26:08 GMT [source]

In Round 1, the eight artist are created and produce their initial art work. Then the AI judge, using the OpenAI ChatGPT-4o with vision API, evaluates each pair of submissions based on the original prompt. This process allows the judge to provide feedback and select a winner for each matchup, progressing the competition to the next round. The platform caters to a wide range of creators, from vocalists seeking backing tracks to marketers in need of mood-setting music for their social media posts. All users have to do is choose their preferred genre, mood, tempo and song length (up to five minutes). Once the song has been generated, users can customize the music before freely distributing and monetizing their creations on platforms like YouTube, TikTok and Instagram without any copyright concerns.

What are AI image generators capable of?

Traditional AI-powered chatbots, no matter how sophisticated, struggle to understand and answer complex inquiries, leading to misinterpretations and customer frustration. In contrast, a GenAI-powered chatbot — drawing from the company’s entire wealth of knowledge — dialogues with customers in a humanlike, natural way. This typically makes interactions faster as well as more efficient, responsive and personalized. At the same time, the chatbot learns from user feedback, improving its responses and minimizing its hallucinations and mistakes.

Prompt 1, for instance, resulted in a modified image of the control room that closely resembled an actual nuclear control room, however it omitted the nuclear reactor core. Despite prompt 2 omitting nuclear waste and spent fuel, the modified version still portrayed a realistic image of the spent fuel pool, where nuclear waste is temporarily stored after being discharged from the reactor for cooling. Prompt 4, focusing on the fission reaction, displayed atoms splitting into smaller atoms, reflecting the process of fission.

GoodwillFinds Launches OpenAI-Powered Customer Service Chatbot

Since then I’d say 80% of the searches I used to do on Google I now do on ChatGPT. As you can see below, the AI tool did a relatively good job at listening to me. So, I suggest telling the AI that you only want one or two signs to limit the chances of this happening. These issues also seem to happen to me when the text is smaller, so you may want to keep that in mind. I want it to be in a downtown city area and a modern structure, like what you would see in a US city. I also suggest creating simpler images; from personal experience, these seem to work better.

• “I do worry this could be used in a way — to put lightly — it could make a lot of people unhappy,” she said.
• The shadows appear to be consistent from a light source relative to the left side of the image.
• Samsung managed to pack a whole lot more of that into its launch event and promotional materials.
• These generative AI tools can do the jobs that were once the preserve of professional photo editors.
• The diagrams generated by the trained model appeared plausible at first glance; however, upon closer examination numerous issues surfaced.
• As reported by the paper authors, latent diffusion speeds up inference by at least ~2.7X over direct diffusion and trains about three times faster.

In a failed attempt to create better results, we used Leonardo.AI’s model training with a small data set of 8 images to make a more accurate nuclear diagram. The diagrams generated by the trained model appeared plausible at first glance; however, upon closer examination numerous issues surfaced. Firstly, the characters displayed on the diagram remained intricate gibberish, and the nuclear fuel rods that should have been situated within the reactor core were absent. Though images containing such technical and specialized content prioritize precise information transmission over creativity, none of those tools satisfied the criteria.

With the phones themselves, not much, other than a new chipset and a wide camera. Samsung managed to pack a whole lot more of that into its launch event and promotional materials. Thanks to generative AI, we can now train our models for automated optical inspection at a much earlier stage, which makes our quality even better. Interestingly, the AI judge’s decisions did not always align with my own opinions on the artwork. Where my favorites were driven by aesthetics, the judge’s selections were often driven by a strict interpretation of the prompt’s requirements and a very literal sense of the artworks adherence. Other times the judge did seem to call out more emotional qualities (e.g. “adds a contemplative feel to the piece”), as Large Language Models (LLMs) often do.

• The grass appears to be over-saturated and the bunnies’ coloring appears slightly off and looks a little “cartoonish” (as interpreted by members of the research team); however, still produced a technically accurate result of bunnies.
• Unless you’re using a public domain image, the images you download are owned by somebody.
• By generating higher-resolution images from lower-quality inputs, doctors can make more accurate diagnoses without subjecting patients to longer scanning times.
• It generates images with content from Getty Images’s vast creative library, meaning the images rendered are commercially safe.
• One of AI image generators’ biggest challenges is generating text onto images.

Runway creates AI-generated images, animations and 3D models using relative motion analysis to generate realistic motion graphics. Its underlying model — trained on both images and videos — powers both its text-to-video and image-to-video capabilities, offering precise control over style, structure and camera movement. Used in movies likeEverything Everywhere All At Once, as well as music videos for artists like A$AP Rocky and Kanye West, Runway is designed for professionals in filmmaking, post-production, advertising, editing and visual effects. For initial testing, the generative AI algorithms DALL-E 2, DreamStudio, and Craiyon were tested in an area that has already been researched extensively, well documented with training data, and not-technically complicated. Since there is already a plethora of existing literature on the generation capabilities of such systems on animals, our group chose an animal, a bunny, for image generation38,39,40. However, in real life, these animals, similar to a nuclear reactor are not just floating in space, they have a surrounding i.e. a field, sand, rocks or grass.

While ChatGPT produced detailed textual descriptions to guide the image generation process, the changes in representation seemed to stem from how DALL-E interpreted these prompts to create visuals. They then compared AI sound-to-image creations made from 100 audio clips to their respective real-world photos, using both human and computer evaluations. Computer evaluations compared the relative proportions of greenery, building and sky between source and generated images, whereas human judges were asked to correctly match one of three generated images to an audio sample. AI image generators are trained on billions of images from across the internet. These images are often artworks belonging to specific artists, which an AI tool repurposes to generate your image. Although the output is different, the new image has elements of the artist’s original work that are not credited to them.

Generative AI has revolutionized software development with tools like ChatGPT, Microsoft’s Copilot and AWS CodeWhisperer, which can instantly generate code for basic functions. This enables developers to shift their focus to more strategic design and complex problem-solving roles. The technology also automates routine tasks, such as coding, debugging and testing, completing these tasks in a fraction of the time, usually more accurately than human software engineers.

Getty’s New Generative AI Photo Tool Lets You Remove the Background

Whether you’re an artist, a professional, or just someone who loves experimenting with visuals, this app offers an unparalleled experience by blending generative AI with intuitive design. The Drawing Assist app is a powerful tool that combines generative AI with intuitive design to enable users to create, refine, and transform images. Whether you’re sketching with your finger, using the S Pen, or writing descriptions, the app brings your imagination to life with ease. Stakeholders can also query ChatGPT or other generative AI tools, such as Claude, Bing or Gemini, for explanations of images. “We have these complex graphs — for example, the linear regression model. ChatGPT tells me what it is and how it applies to my market,” Grennan said.

Forget DALL-E: Apple’s new AI image generator runs on-device and works like magic – ZDNet

Forget DALL-E: Apple’s new AI image generator runs on-device and works like magic.

Posted: Mon, 10 Jun 2024 07:00:00 GMT [source]

As our team embarks on a newly funded research project building on this work, future research will involve collaboration with social scientists and Indigenous groups who will provide feedback on the AI-generated images. In this exploration, we tested the 3 generative AI tools against four prompts, the results are shown in Table 5. In our first prompt, we asked all 3 tools to produce an image of a “Person who works in the nuclear industry”. DALL-E 2 produced an image of a male with a mask working at a nuclear power plant, standing next to a single cooling tower.

How AI will shape work in 2025 — and what companies should do now

DreamStudio has boxes with a pattern and text on a yellow background; however, this image did not appear to be related to the prompt. Craiyon has the closest depiction of nuclear waste (even though still very far), of an atomic logo being in a cylindrical container. As PetaPixel wrote in September, Apple’s general approach to artificial intelligence is a welcome change of pace for photographers. Where photography and AI meet is a concerning intersection for photographers. The power required to edit batches of 10,000 images is presumably expensive. Adobe says there will be a fee to use these new tools based on “consumption” — which likely means users will need to pay for a premium Adobe Firefly plan that provides generative credits that can then be “spent” on the features.

Dall-E 3 by OpenAI is CNET’s Editor’s choice for the best AI image generator because of its breadth of editing and customization tools, close adherence to prompts and level of detail in images. Dall-E uses a conversational flow, and it’s great at handling more complex prompts well. Accuracy is an important factor to consider when evaluating AI image generators. Accuracy in this case refers to how well a service matches your prompt and how clearly elements and details are rendered.

The technology is so convincing that schools in Arizona and London plan to replace their human teachers with AI-driven instruction. Firms such as fintech marketplace InvestHub use generative AI to personalize at scale. CNET’s expert staff reviews and rates dozens of new products and services each month, building on more than a quarter century of expertise.

He’s based in Edinburgh, Scotland, where he worked for Apple as a technician focused on iOS and iPhone repairs at the Genius Bar. John-Anthony has used the Apple ecosystem for over a decade, and is an award-winning journalist with years of experience in editorial. Considering just how controversial the use of AI in cinema is, even generating a small element of a highly-regarded film like The Brutalist is enough to make front-page news. While we’re unsure how the topic of AI could impact the way the Academy nominates and ultimately votes for Oscars, it’s fair to say that headlines like these won’t do The Brutalist any favors. With nominations dropping on January 23, we won’t know if The Brutalist can shake off these AI criticisms and win big at the 97th Academy Awards until March 3. The use of AI here is minimal, with an element of creativity that relies on Jancsó’s own language to merge sounds and create an authentic experience.