Tag: machine learning (page 1 of 3)

Generative art

We’re going to see a lot more of this in the next few years, along with the predictable hand-wringing about what constitutes ‘art’.

Me? I love it and would happily hang it on my wall — or, more appropriately, show it on my Smart TV.

Fidenza is my most versatile generative algorithm to date. Although it is not overly complex, the core structures of the algorithm are highly flexible, allowing for enough variety to produce continuously surprising results. I consider this to be one of the most interesting ways to evaluate the quality of a generative algorithm, and certainly one that is unique to the medium. Striking the right balance of unpredictability and quality is a difficult challenge for even the best artists in this field. This is why I’m so excited that Fidenza is being showcased on Art Blocks, the only site in existence that perfectly suits generative art and raises the bar for developing these kinds of high-quality generative art algorithms.

Source: Fidenza — Tyler Hobbs

AI-generated misinformation is getting more believable, even by experts

I’ve been using thispersondoesnotexist.com for projects recently and, honestly, I wouldn’t be able to tell that most of the faces it generates every time you hit refresh aren’t real people.

For every positive use of this kind of technology, there are of course negatives. Misinformation and disinformation is everywhere. This example shows how even experts in critical fields such as cybersecurity, public safety, and medicine can be fooled, too.

If you use such social media websites as Facebook and Twitter, you may have come across posts flagged with warnings about misinformation. So far, most misinformation—flagged and unflagged—has been aimed at the general public. Imagine the possibility of misinformation—information that is false or misleading—in scientific and technical fields like cybersecurity, public safety, and medicine.There is growing concern about misinformation spreading in these critical fields as a result of common biases and practices in publishing scientific literature, even in peer-reviewed research papers. As a graduate student and as faculty members doing research in cybersecurity, we studied a new avenue of misinformation in the scientific community. We found that it’s possible for artificial intelligence systems to generate false information in critical fields like medicine and defense that is convincing enough to fool experts.

Source: False, AI-generated cybersecurity news was able to fool experts | Fast Company

Mediocrity is a hand-rail

Venus flyrap cyborg

🤖 Engineers Turned Living Venus Flytrap Into Cyborg Robotic Grabber — “The main purpose of this research was to find a way of creating robotic mechanisms able to pick up tiny, delicate objects without harming them. And this particular cyborg creation was able to do just that.”

👀 First Look: Meet the New Linux Distro Inspired by the iPad — “This distro is designed to be a tablet first and a “laptop-lite” experience second. And I do mean “lite”; this is not trying to be a desktop Linux distro that runs tablet apps, but a tablet Linux distro that can run desktop ones – a distinction that’s worth keeping in mind.”

🤯 DALL·E: Creating Images from Text — “GPT-3 showed that language can be used to instruct a large neural network to perform a variety of text generation tasks. Image GPT showed that the same type of neural network can also be used to generate images with high fidelity. We extend these findings to show that manipulating visual concepts through language is now within reach.”

🔊 Surround sound from lightweight roll-to-roll printed loudspeaker paper — “The speaker track, including printed circuitry, weighs just 150 grams and consists of 90 percent conventional paper that can be printed in color on both sides.”

👩‍💻 You can now run Linux on Apple M1 devices — “While Linux, and even Windows, were already usable on Apple Silicon thanks to virtualization, this is the first instance of a non-macOS operating system running natively on the hardware.”


Quotation-as-title by Montesquieu. Image from top-linked post.