Lifeboat Foundation

The US Department of Justice arrested a Wisconsin man last week for generating and distributing AI-generated child sexual abuse material (CSAM). As far as we know, this is the first case of its kind as the DOJ looks to establish a judicial precedent that exploitative materials are still illegal even when no children were used to create them. “Put simply, CSAM generated by AI is still CSAM,” Deputy Attorney General Lisa Monaco wrote in a press release.

The DOJ says 42-year-old software engineer Steven Anderegg of Holmen, WI, used a fork of the open-source AI image generator Stable Diffusion to make the images, which he then used to try to lure an underage boy into sexual situations. The latter will likely play a central role in the eventual trial for the four counts of “producing, distributing, and possessing obscene visual depictions of minors engaged in sexually explicit conduct and transferring obscene material to a minor under the age of 16.”

The government says Anderegg’s images showed “nude or partially clothed minors lasciviously displaying or touching their genitals or engaging in sexual intercourse with men.” The DOJ claims he used specific prompts, including negative prompts (extra guidance for the AI model, telling it what not to produce) to spur the generator into making the CSAM.

One of the main barriers involves how to connect objects to the internet in places where there is no mobile network infrastructure. The answer seems to lie with low Earth orbit (LEO) satellites, although the solution presents its own challenges.

A new study led by Guillem Boquet and Borja Martínez, two researchers from the Universitat Oberta de Catalunya (UOC) working in the Wireless Networks (WINE) group of the university’s Internet Interdisciplinary Institute (IN3), has examined possible ways to improve the coordination between the billions of connected objects on the surface of the Earth and the satellites in its atmosphere.

The paper is published in the IEEE Internet of Things Journal.

Which factors determine how quickly a battery can be charged? This and other questions are studied by researchers of Karlsruhe Institute of Technology (KIT) with the help of computer-based simulations.

From georgia institute of technology & adobe.

Personalized residuals for concept-driven text-to-image generation.

We present personalized residuals and localized attention-guided sampling for efficient concept-driven generation using text-to-image diffusion…

Continue reading “Personalized Residuals for Concept-Driven Text-to-Image Generation” »

A study in EBioMedicine reveals significant microplastic concentrations in thrombi from major blood vessels, linking microplastic levels to increased risk and severity of thrombotic events.

Apple could once again be hoping to lock its competitors out of the market, at least for a little while.

In February, we covered a curious setup that allows you to control digital particles in real time by blowing air into a sensor, created by visual artist Steven Mark Kübler. But what if you had a whole museum of such unusual interactive artworks?

This is what Kübler has been wondering as well. He presented a concept of a room filled with sound paintings manipulated with viewers’ actions. You can see him blowing on the sensor to make particles in a tank-like container splash and part like water. The experience was created using Arduino’s controller and the TouchDesigner visual development platform.

In this pivotal Spring 2024 edition of “The Xsolla Report: The State of Play,” Xsolla delves into the evolving dynamics and innovations shaping our industry, emphasizing the burgeoning realm of mobile gaming.

TSMC has started producing Tesla’s next-generation Dojo AI training tiles with its InFO_SoW (Integrated Fan-Out System-on-Wafer) technology, aiming for a 40x increase in computing power by 2027 with a more complex wafer-level system, according to company sources.