Generative Adversarial Network

AI is becoming a part of our daily lives. To stay on top of dinner conversations, here are the important terms you need to know.

Deepfakes are AI-generated videos, images, or audio used by scammers to trick consumers. Learn how to spot them and protect...

With Google, Microsoft, Apple and OpenAI creating new AI models and systems, it's good to stay up to date on all the latest terminology.

Experts tell WIRED that Russian disinformation campaigns are using generative AI more and more.

The incident involving doctored photos of Kate Middleton and her family presents a curious case study. This scenario unfolds against a backdrop where digital tools wield the power to alter perceptions, challenging our collective trust in what we see online. As we sift through the layers of...

Roots are essential for plant growth, but traditional methods of studying roots are resource-intensive and damaging. With advancements in image processing techniques, innovative methods for in situ root studies have emerged, providing non-destructive root imaging.

SDXL Turbo is the latest text-to-image AI model developed by Stability AI. The work-in-progress generative service employs a novel distillation technique called Adversarial Diffusion Distillation (ADD) that...

Even at home, SDXL Turbo can create detailed images with startling speed.

Neural networks are the fundamental components of deep learning techniques, and these are the most important topics in this field. Deep learning is a sub-branch of machine learning, and it dea...

A new study reveals the pitfalls of deep generative models when they are tasked with solving engineering design problems. The MIT researchers say if mechanical engineers want help from AI for novel ideas and designs, they'll have to refocus those models beyond "statistical similarity."

Fiber-optic imaging methods enable in vivo imaging deep inside hollow organs or tissues that are otherwise inaccessible to free-space optical techniques, playing a vital role in clinical practice and fundamental research, such as endoscopic diagnosis and deep-brain imaging.

AI cracking is on par with conventional methods, but you'd be forgiven for thinking otherwise.

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) convened to peek under the hood of code, language, and images in regards to generative AI models, as well as their capabilities, limitations, and future impact.

A study has shown the PassGAN tool can crack easy passwords in a matter of seconds.

Researchers looked into a new AI-powered password-cracking tool called PassGAN to see just how fast it could compromise passwords.

If you thought the AI space was already moving fast with ChatGPT, GPT4, and Stable Diffusion, then strap in and get ready for the next groundbre

The goal of NIST's AI Framework is to provide a structured approach to assessing and managing the risks involved with developing and deploying AI solutions. Overall NIST has the right idea. Rather…

Current diffusion-based AI models can and will reproduce copyrighted images from its data set, though rarely. It will get worse the bigger these systems become.

Even if you think you are good at analyzing faces, research shows many people cannot reliably distinguish between photos of real faces and images that have been computer-generated. This is particularly problematic now that computer systems can create realistic-looking photos of people who don't exist.

Generative AI has recently seen an incredible popularity surge. In this post, we take a closer look at what it is and how it works, as well as outline common use cases and perspectives for the future.