Adobe to Bring Full AI Image Generation to Photoshop this Year

An AI (Artificial Intelligence) sign is seen at the World Artificial Intelligence Conference (WAIC) in Shanghai, China July 6, 2023. REUTERS/Aly Song/File Photo
An AI (Artificial Intelligence) sign is seen at the World Artificial Intelligence Conference (WAIC) in Shanghai, China July 6, 2023. REUTERS/Aly Song/File Photo
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Adobe to Bring Full AI Image Generation to Photoshop this Year

An AI (Artificial Intelligence) sign is seen at the World Artificial Intelligence Conference (WAIC) in Shanghai, China July 6, 2023. REUTERS/Aly Song/File Photo
An AI (Artificial Intelligence) sign is seen at the World Artificial Intelligence Conference (WAIC) in Shanghai, China July 6, 2023. REUTERS/Aly Song/File Photo

Adobe said on Tuesday it plans to place a tool for full artificial intelligence image generation in its Photoshop software later this year.
Adobe's image and video editing tools are widely used by creative professionals, but it faces rising competition from startups such as Microsoft-backed OpenAI, Midjourney and Stability AI, all of which offer services that can generate images from text prompts, Reuters said.
Adobe is developing its own image-generation AI system called Firefly, which is trained on data that Adobe has rights to, in order to avoid copyright infringement claims against users.
Adobe previously released image-generation tools in Photoshop that can fill in or expand parts an existing image. At a conference in London on Tuesday, the company said full image generation will come later this year, based on a new AI system called Firefly Image 3.
Much of Adobe's focus has been on speeding up the work of professionals who use its software. The new image-generation tool will have the ability to tap a user's uploaded image as a reference for the general composition of an image.
For example, a designer could make a quick sketch of a scene on a napkin, snap a photo of that napkin with a smartphone and then ask Photoshop to generate fully featured images in a variety of styles, said Ely Greenfield, chief technology officer for digital media at Adobe.
"Rather than having to very carefully describe exactly what goes where and try to make sure that I'm specifying the things I want things and that I don't, it's borrowing from the reference. So this is an amazingly powerful capability," Greenfield said.
Adobe said a test "beta" version of the software is available to some users on Tuesday but did not give a date for general availability.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.