Photoshop unveils extraordinary generative AI that transforms pictures with a text prompt

AI News provides artificial intelligence news and jobs, industry analysis and digital media insight around numerous marketing disciplines; mobile strategy, email marketing, SEO, analytics, social media and much more. To make your image bigger, extend its canvas and select the empty area you wish to expand. Then AI will create a seamless extension of your scene, blending it naturally with the existing content. If you use a prompt, the AI will not only extend the scene but also add specific content based on your prompt, resulting in an expanded image with new elements that fit cohesively with the rest of the scene.

Adobe is building on Firefly, its family of generative AI models, with a feature in Photoshop that “expands images beyond their original bounds,” as the company describes it. One of the former barriers to having AI generate believable images was the need for enormous datasets for training. With today’s significant computing power and the incredible amount of data we now collect, AI has breached that barrier.

Making a generative AI image might take less than two seconds on a smartphone in the future

Currently, GlobalData records a net sentiment of 0.46 for posts on tech regulation, which is lower than the 0.69 sentiment recorded in 2019. From LLMs to digital avatars, catch up on everything NVIDIA is doing in generative AI. Novel optimization framework for generating 3D objects and meshes with high-quality geometry. It’s taken two decades for computer scientists to train and develop machines that can “see” the world around them—another example of an everyday skill humans take for granted yet one that is quite challenging to train a machine to do.

Bellingcat’s Higgins believes that AI-generated images are a phenomenon that will be most likely contained to social media platforms rather than being something that reaches anywhere near the mainstream genrative ai media. AI image generators like DALL-E and Midjourney are popular and easy to use. Midjourney has not published numbers, but they recently halted free trials citing a massive influx of new users.

Q&A: GlobalData’s Laura Petrone on the future of tech regulation

A development journey spanning decades has suddenly accelerated to deliver the likes of ChatGPT, Dall-E, and Google Bard into the mainstream. With deepfakes becoming not only easier and cheaper to produce but more realistic and harder to determine if they’re fake, the potential for them to be used for malicious purposes is growing rapidly. In June, we held a workshop to identify common risks, discuss promising interventions, and consider opportunities for joint research and cross-regulator initiatives.

The image was quickly proven to be faked, done through a photomontage of the face of the politician and the body of another woman. Chilean journalist Valentina de Marval, a professor of journalism in the Universidad Diego Portales with previous fact-checking experience for agencies like AFP, Chicas Poderosas and LaBot Chequea, is also worried about the rise of AI-generated images. While there are clues to these images that show they are fake, like hands, teeth or ears, De Marval is concerned that the rapid improvement of these models will render these indicators obsolete. In our first research report for the Cremarc Innovation Hub, that we released in Q1 2023, we spoke about DALL-E – Open AI‘s image-generative AI tool.

Yakov Livshits

Digital Catapult is the UK innovation agency for advanced digital technology, promoting new ideas and collaboration throughout industry. They are all about helping companies like Lux Aeterna reach new heights. Tools called AI detectors are designed to label text as AI-generated or human. AI detectors work by looking for specific characteristics in the text, such as a low level of randomness in word choice and sentence length. These characteristics are typical of AI writing, allowing the detector to make a good guess at when text is AI-generated.

Both NLP and NLG are important components of generative AI, enabling systems to understand and generate text in a wide range of applications. NLG, on the other hand, is a subfield of NLP that specifically focuses on the generation of human-like text. NLG techniques use AI algorithms to automatically generate text that is coherent, fluent, and contextually relevant. NLG finds applications in areas such as content creation, data reporting, personalized recommendations, and more. In May this year, AI-generated images of an explosion at the Pentagon went viral, causing a momentary stir on the stock markets, while other fake images showing former US President Donald Trump tussling with police also made headlines.

Meeting the evolving expectations of consumers and greater patient-centricity are two of the main reasons proponents want to include AI in the healthcare contact centre. This approach has worked well in giving staff and leaders an easy and high-oversight use case to help develop their internal processes around generative AI. At Talkdesk, we’re already seeing customers take advantage of generative AI in the contact genrative ai centre. Our Healthcare Experience Cloud supports call summarization that can be written back to the EHR via our direct integration. Many test cases in the clinical setting will remain experiments as the industry begins to understand the best path forward. It’s well documented that people who choose a career of caring for others do not have the capacity to handle the increasing demands of our healthcare system.

You have the freedom to choose any image you prefer to expand the background. Opt for an image with a relatively simple background that can be easily extended. Avoid selecting images with intricate shapes or many people, genrative ai as they may confuse the AI and potentially lead to less optimal results. Using Transformer architecture, generative AI models can be pre-trained on massive amounts of unlabeled data of all kinds—text, images, audio, etc.

We are exploring the use of generative AI in all teams across the organisation. We are looking at where it can be used in back-office tasks, specific processes and where it can give us efficiency opportunities. We are doing this as part of a carefully monitored three-month trial, after which we will evaluate the results and decide on our next steps. We are excited to see how generative AI can help us improve our productivity and quality of work and we are committed to following the best practices and principles below. This prompt could be text, an image, a video, a design, a music sample, or any input that an AI system can process. As the technology advances, the lines between reality and fake will become increasingly blurred, making it more critical than ever to develop measures to identify and combat the spread of deepfakes.

In short, generative AI will allow for self-service automation to go deeper and more personalized, while removing more friction from patient navigation. But that’s not to say generative AI is only part of healthcare’s distant future; it’s actually already here and making an impact in the patient journey. Want to learn more about cybersecurity and the cloud from industry leaders?

• This is the reason why LLMs can engage and build interactive conversations, powering many types of applications.
• These models can be used to generate high-fidelity 3D assets from simple text prompts which can in turn be used in game development, animation, and other 3D workflows.
• It boasts a robust semantic comprehension capability, resulting in more accurate and contextually relevant image generation.
• You are probably aware by now of the new feature in Adobe’s Photoshop Beta – Generative Fill.
• This kind of AI is referred to as “generative” because it can generate new data that is unique and original, as opposed to simply processing or analyzing existing data.
• In this post, we look at creating marketing visuals with the help of AI.

Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here. The risks are also there such as over fitting, models need to be retrained on new market dynamics, potential for herd mentality and super crashes. Google DeepMind CEO Demis Hassabis has come out and stressed the importance of creating systems that can detect AI images as the US heads into presidential elections scheduled for 2024. Hassabis said the new tool can embed the watermark in the pixels of the image without altering the image itself or its quality.

Learning, Media and Technology: Theorizing the Future of Generative AI in Education

For others, they’re equivalent to theft and a threat to jobs in the creative sectors. The one thing that seems undeniable is that anyone who works in image creation needs to know about them. Adobe also blocks certain copyrighted, violent and sexual keywords in text prompts and relies on terms of use that restrict people from generating abusive, illegal or confidential content. Google has released a digital AI watermark for images generated by its text-to-image service Imagen.

• While 2D image generation tools have so far been used primarily to create photographic, painterly or cartoon images, there hasn’t been much focus on how these tools could be used to create images that can be used in the production of assets for VFX.
• Today, publicity in many countries must carry disclaimers with variations of phrases like “the human figure has been digitally altered”.
• Think back to when a new set of technologies or a tech-enabled gizmo completely grabbed your attention and imagination.
• NLG finds applications in areas such as content creation, data reporting, personalized recommendations, and more.
• Whereas GenAI focuses on content-creation functions, LLMs are used in relation to systems connected with languages.

Today, Snap, the parent company of Snapchat, announced that its Snap Research division has come up with a technique that should speed up the time that generative AI art creators make images. Now, with generative AI, everyone can use AI without the manual data prep. The large models that power generative AI applications—those foundation models—are built using a neural network architecture called “Transformer.” It arrived in AI circles around 2017, and it cuts down development process significantly. For resolution, Stable Diffusion can go up to 2084×2084; still not really good enough to print at a large size.

Software Bundles

It is very confusing how you sign up, where you put prompts in, and if you get this for free. However, after 10 minutes of navigating, not understanding why we were moving platforms to Discord and $12 later, we had a one-month subscription. Saving the best until last, Midjourney shone out staggeringly better than the other products using these prompts (considerably worse in every other aspect).

Wavemaker has now launched a series of 60 GenAI created images based on specific inputs or prompts, all exploring the character of the signature Orange Ball. Also an OpenAI property, Dall-E (so named for Spanish artist Salvador Dali and Disney robot WALL-E) is designed to generate realistic images and art from written prompts. GenAI differs from typical machine learning because it doesn’t rely on labelled data sets or supervised learning techniques but uses generative models to create new ideas or solutions.

Generative AI uses

This could take the form of words, images, video or audio, depending on what the AI application has been designed to produce. Metaphysic is also capable of processing live video in real-time, which is at the cutting edge of AI technology. They demonstrate this by replacing the interviewers face with Chris’s in a live video, and even replicating the voice.

A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

I had tried tons of other online editors on the market and been disappointed. With VEED I haven’t experienced any issues with the videos I create on there. It has everything I need in one place such as the progress bar for my 1-minute clips, auto transcriptions for all my video content, and custom fonts for consistency in my visual branding. While this feature is new on VEED, you can bet it’s the best because it’s fast, simple, and most of all—it’s fun to use!

Let’s explore the remarkable potential of Generative Fill and its profound impact on the creative process and web design. A great example of using VAE in generative deep learning image anomaly detection is for bottles or bolts. In this case (see image below), the input image is the groove part of the bottle top, where the lid screws onto the bottle. From looking at images at the top of the bottle grooves, AI can easily determine which one has a defect.

Many photographers will have used the AI capabilities of software like Photoshop CC and Luminar Neo for routine editing work, using tools that can detect certain parts of an image and adjust or remove objects. WOMBO Dream brings generative AI to the masses through their mobile app. The user uses a text prompt to generate a desired image and selects a style prompt, and their image is generated within seconds. The app also allows users to share their generated art with members of the WOMBO community. But maybe you had something more specific in mind, which these tools just aren’t able to make happen on their own.

The Catalysts & Connectors programme is a 16-week accelerator run by MyWorld partners Digital Catapult, with the support of NVIDIA. The aim of the accelerator is to help companies in the creative industries develop innovative new tools to assist in the creation of exciting experiences. The participants included developers, creative studios, startups, and scaleups. With the support of Digital Catapult’s technology experts programme participants explored genrative ai innovative tooling solutions, addressing industry challenges related to the creation, delivery, and assessment of experiences. An LLM generates each word of its response by looking at all the text that came before it and predicting a word that is relatively likely to come next based on patterns it recognises from its training data. The fact that it generally works so well seems to be a product of the enormous amount of data it was trained on.

As the technology behind generative artificial intelligence (AI) continues to advance, so too does the potential for its misuse. One particularly concerning application of this technology is the creation of deepfakes, which are increasingly being used to spread disinformation online. In recent months, the attention of the media, policymakers and the public has focused on the views of those who have created and launched Generative AI tools, including large US-based technology firms. This is understandable, given their insider perspective on the power and potential of this technology. Indeed, we are already starting to see the benefits of Generative AI for citizens and consumers – from improving drug development to making education more engaging. In the telecoms industry, which Ofcom regulates, Generative AI is being used to manage power distribution, spot network outages, and both detect and defend against security anomalies and fraudulent behaviour.