How AI Generative Models Are Transforming Creativity: Real-World Case Studies In Art, Music And Writing

I won an AI image award with a real photo to show were not adapting to the technology fast enough Then it was my turn to be surprised

In 2023, Levi’s saw anger from consumers after saying it would use AI to generate images of models with more diverse body types and a wider variety of skin tones. Unlike traditional search engines that rely on keyword searches, GenAI enables researchers to analyze large data sets at scale, quickly identify relevant precedents and summarize key points. In fact, GenAI saves researchers and lawyers time by generating abstracts and analyzing decisions and cases from the vast pool of legal texts it’s trained on. Tax attorneys told Thomson Reuters they use GenAI for accounting, bookkeeping and tax research. For talent coaches, the engine customizes employee career paths based on stored data, tracks their optimal career trajectory and matches staff to appropriate learning programs. GenAI tools make reports more comprehensive for all stakeholders, and users can query the bots for clarification when needed.

But what is truly a positive is the unprecedented capability AI has to understand language and generate images. It was AlexNet that had computers analyze an image and output text, and only now computers can analyze textual prompts and output coherent images. “Depending on the material available, generative AI models are trained with different amounts of real data,” says Beggel, whose work focuses on the development and application of generative AI. “For example, you can take images of a comparable product as a basis and apply them to the current use case. We use what exists to create something new.” The technical term for this is domain transfer. Companies like Copy.ai and Jasper are leveraging these models to help businesses create marketing copy, social media posts and even blog articles.

Bill Gates’ nuclear energy startup inks new data center deal

These images are extremely distressing if one takes a minute to look at the fine details—soulless humans with gnarled fingers, waxy skin and dead eyes, often standing in front of twisted pieces of furniture and warped windows. The ease of creating and posting generative AI images online has led to unusual trends emerging from Facebook’s algorithmic soup, such as “Shrimp Jesus,” the messianic crustacean that quickly became a meme on X (Twitter). We must approach AI with the same mix of curiosity and rigor, humility and assertiveness, recognizing that it too is not a monolith but a tool continually shaped by our collective activity. Tom’s Guide is part of Future US Inc, an international media group and leading digital publisher. Get instant access to breaking news, the hottest reviews, great deals and helpful tips. The Free Plan provides 250 initial credits, with a daily refill of 30 credits, allowing users to explore the platform’s capabilities at no cost.

Historically, the nuclear industry has been male-dominated, with significant gender disparities in the workforce. By generating prompts focused on gender, the study seeks to explore how generative AI visualizes or narrates this issue. This can provide insights into whether AI models perpetuate existing stereotypes or present a more inclusive view of women in technical roles. Some companies are trying to develop technology that erases the barrier between artificial and real, helping people use AI to craft images that look like photos, reducing the need for photography at all. Samsung’s Drawing Assist app is more than just an AI tool—it’s a creative companion designed to unlock new possibilities for users.

Results for prompt engineering

It comes with the S Pen, a vestige of the departed Note line, but as The Verge notes, there is no Bluetooth included, so you can’t pull off hand gestures with the pen off the screen or use it as a quirky remote camera trigger. The notebook initiates the Artists for each round providing them the prompt. The output of the artists is judged with feedback given and a winner selected, eliminating the losing artist.

ImageFX combines accuracy, speed, and cost-effectiveness and can generate images in seconds. A major plus is that the generator is easy to use for beginners and has unique features like expressive chips. OpenAI’s DALL-E 2 made a huge splash as the first mainstream AI image generator. Other companies have released models that surpass DALL-E 2, and OpenAI has since released a more advanced model, DALL-E 3, which replaced its predecessor. As a digital artist and an early adopter of AI tools, I believe generative AI was likely part of the artist’s process, but the extensive human touch is equally evident.

• These prompts may reflect the backgrounds of members in this group but could limit diverse perspectives and overlook viewpoints and communities that have different relationships with nuclear energy.
• One of the biggest issues with AI image generators is that they typically train their generators on content scraped from the internet, which means the generators use aspects of creators’ art without compensation.
• Such a specialized tool will then be tested through social experiments with the public to obtain realistic prompts regarding public concerns about nuclear power and clean energy policy.
• It’s a no-frills, easy-to-navigate AI image generator perfect for beginners and Canva lovers.
• For example, at Koch Industries, facility operators use C3 Generative AI to query the system in natural language for comprehensive reports on internal and external operations.

Third, a set of our prompts focuses on possible surroundings for nuclear reactors (i.e., Nature). Nuclear reactors are often built near natural environments such as rivers, lakes, or forests. The interaction between nuclear installations and nature is a significant visual and thematic prompt, as it reflects the tension between technological advancement and environmental preservation. By generating AI representations of nuclear reactors in natural settings, the study aims to assess how AI conceptualizes this coexistence and whether it focuses on harmony or conflict between industrial structures and ecosystems.

Adobe is making some new developer APIs for Firefly Services generally available in the coming weeks that developers can use to speed up video and print production workflows. “Dubbing and Lip Sync” can translate and edit lip movement for video audio into 14 different languages, and a new InDesign tool can automatically format text and images for print and digital media using predefined templates. “Digital avatars” created using text descriptions and voice recordings will also be available in beta this month, which can be used to present videos and product explainers. Adobe is launching new generative AI tools that can automate labor-intensive production tasks like editing large batches of images and translating video presentations. The most notable is “Firefly Bulk Create,” an app that allows users to quickly resize up to 10,000 images or replace all of their backgrounds in a single click instead of tediously editing each picture individually.

Some generative AI tools such as Canva’s text-to-image generation service have a graphical user interface (GUI) that allows a user to input prompts, and generate an image based on that prompt. Other generative AI tools have either free or paid API access, where a user can input a prompt into a Python script. When employing generative AI through a GUI, while the usage is intuitive, it may not be optimal for generating a large volume of images using extensive prompts. Consequently, the most ideal scenario arises when both GUI and API are concurrently available. While the previously mentioned applications have employed generative AI models in a positive context, it is important to recognize that there are also negative implications and ethical concerns of AI image generators.

Researchers Use AI To Turn Sound Recordings Into Accurate Street Images

DeepAI was similarly eliminated due to the availability of only paid subscription services. Other text-to-image generative AI tools such as StackGan++ and CLIP required training data in order to generate images, and thus were also eliminated. Midjourney is a popular text-to-image generative AI model, but we decided against using Midjourney since a Discord account is required to access the API, and due to increased usage, the servers were generally unavailable. We then reviewed the commercial rights of these programs and found that Leonardo.Ai did not support commercial use and was thus not considered for detailed analysis. A summary of the basic prompts, along with prompt results are provided in Table 5.

It can now render more diverse art styles with greater accuracy — from photorealism to impressionism, from abstract to anime. This upgrade also follows prompts more faithfully, and renders richer details and textures. In side-by-side comparisons of outputs by human raters against leading image generation models, Imagen 3 achieved state-of-the-art results. Humor is a complex human skill that combines elements of surprise, timing, and intent.

We don’t recommend that you use an AI image generator to create harmful images of public figures, but there are some benign use cases. Another perk is that Adobe Firefly was trained on Adobe Stock images, openly licensed content, and public domain content, making all the generated images safe for commercial use. Grok comes as part of the Premium Tier of the social media platform X and costs $8 a month. For that price you get access to FLUX.1 image generation, as well as Grok’s chatbot and premium features on X.As for which you should choose, I would suggest both. Additionally, as noted above, the models inadequately depict indigenous environments, which have traditionally served as locations for resource extraction and the disposal of nuclear waste by energy industries. Indigenous communities in the Intermountain West have been displaced and impacted by uranium mining as well as the development of nuclear weapons facilities.

To tackle the challenges arising in acquiring massive data due to patient privacy concerns, Akrout et al.11 employed such generative AI models for data augmentation. The commonality among the presented studies9,11 above is that, when data is relatively scarce, generative AI models can augment data to improve the performance of machine learning classification algorithms by reprocessing existing data. These areas include generation of novel artworks and the production of visual materials for communication12,13.

Generative AI tools are software programs designed to create new content using advancedAI models. Typically built on neural networks, these models can identify structures and patterns within massive amounts of annotated data. Then, given a prompt or input, the AI is able to draw upon what it has learned to generate relevant, original works — often in real time. Generative AI tools — which rely on a form of artificial intelligence that makes original text, images, videos, audio and code — has transformed daily life, enhancing both creativity and productivity. The authors note that lighting information might come from variations in activity in the soundscapes. For example, traffic sounds or the chirping of nocturnal insects could reveal time of day.

However, DALL-E produced an image of dry land, failing to generate both Uranium mine and Navajo land. As indicated in “Results for general prompts” section, the generative AI models have successfully generated accurate images in response to prompts related to the natural environment. Next, we examine the performance of these models when given prompts related to nuclear energy. We provide nuclear-related prompts to the models and analyze the outcomes to understand their proficiency in generating images in this specific domain. The prompt is the caption that creates an image; generative AI tools rely on a prompt to take the user’s intention to generate an image.

Which Parts of These Images Are A.I.-Generated? – The New York Times

Which Parts of These Images Are A.I.-Generated?.

Posted: Fri, 27 Dec 2024 08:00:00 GMT [source]

Ideogram has a Magic Prompt feature that expands on your original one, meaning that you can get even more accurate results. You should also make sure that the text goes well with your AI-generated image. Use fonts that match the mood you’re trying to convey, and reshape everything in a way that you feel is necessary.

• Use fonts that match the mood you’re trying to convey, and reshape everything in a way that you feel is necessary.
• The final output should be a static, high-quality image that showcases the endless complexity and beauty of recursive patterns, designed to stand out in any competition.
• Out of caution, the DeepMind team used red teaming and thorough data labeling techniques to ensure Imagen 3 meets the company’s fairness, bias and safety standards.
• The pace at which companies are building new data centers means the bulk of the electricity to power them must come from fossil fuel-based power plants,” says Bashir.
• Such applications to nuclear energy include nuclear fuel rod fabrication, proper waste management images, and nuclear reactor designs.

“For instance, the distant hum of traffic becomes a bustling cityscape, while the gentle rustle of leaves ushers you into a serene forest. Each sound weaves a vivid tapestry of scenes, as if by magic, in the theater of your imagination.” Kang’s work focuses on using geospatial AI to study the interaction of humans with their environments. In another recent paper published in Nature, he and his co-authors examined the potential of AI to capture the characteristics that give cities their unique identities.

The argument is that centuries of societal prejudices and behavior will inevitably show up in coding unless guardrails are put in place. In other words, ethical, legal and social concerns exist in every arena where generative AI exists. Using sketch to image is entirely optional, and plenty of people will never even find it in the gallery app. Sure, you’ve been able to add an out-of-focus bee to an image in Photoshop for ages. But putting this capability in the very same device you use to take the picture and distribute it is another thing. The capabilities and accessibility of generative AI tools are outrunning our shared understanding of what might be real and what might be fake when you scroll through Instagram.