At its core, Stable Diffusion is a deep learning model that can generate pictures. Together with some other models and UI, you can consider that as a tool to help you create pictures in a new dimension that not only you can provide instructions on how the picture looks like, but also the generative model …
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Generating image descriptions is a common requirement for applications across many industries. One common use case is tagging images with descriptive metadata to improve discoverability within an organization’s content repositories. Ecommerce platforms also use automatically generated image descriptions to provide customers with additional product details. Descriptive image captions also improve accessibility for users with visual …
Meta has created CYBERSECEVAL 3, a new suite of security benchmarks for LLMs that benchmark AI models’ security risks and capabilities.Read More
The filmmakers behind Seeking Mavis Beacon wanted to know what happened to the Black woman who was paid only a couple hundred dollars to be the face of a wildly successful typing program. To find out, they had to do some “trolling.”
As the perpetrators of accounting fraud become ever more sophisticated in their techniques, fraud detection needs to step up its game. Thankfully, a group of researchers have devised a new machine learning ‘detective’ that is able to analyze not just fraud at a single firm, but predict likely fraud across whole supply chains and industries.
Now’s your chance to save cash on TVs, smart speakers, and Kindles.
The emerging discipline focuses on real-world application of AI research rooted in engineering — bringing science together with raw materials.Read More
Industry leaders at DataGrail Summit 2024 warn of AI’s exponential growth outpacing security measures, urging companies to invest in robust AI safety systems to mitigate risks and protect consumer trust.Read More
This hot tub is a cheap and easy way to relax—but it still requires a commitment.
Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research published in APL Machine Learning, I have used a phenomenon called “quantum tunneling” to design a neural network that can “see” optical illusions in much the same way humans do.