Lifeboat Foundation: Safeguarding Humanity
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PARIS – Vast Space, a Southern California startup founded by cryptocurrency billionaire Jed McCaleb, plans to establish an artificial-gravity space station in low Earth orbit.

McCaleb envisions a future where millions of people are living throughout the solar system. Since other companies are helping to reduce launch costs, McCaleb thinks the next important step will be creating large structures where people can live and work in space.

“Earth has finite resources, but out in the solar system, there is an enormous untapped wealth, both in terms of energy and matter, that could support many ‘Earths,’” McCaleb told SpaceNews by email. “Likewise, mankind needs a frontier. Every prosperous civilization has had one to push off into – nevertheless, we haven’t had one for some time. Without a frontier, the world becomes a zero-sum game, which is detrimental to the psyche of a civilization. And in terms of the long-term future of humanity, we will need to live off of the Earth eventually.”

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Solutions are needed early as thermal becomes a systems issue.

Heat has emerged as a major concern for semiconductors in every form factor, from digital watches to data centers, and it is becoming more of a problem at advanced nodes and in advanced packages where that heat is especially difficult to dissipate.

Temperatures at the base of finFETs and GAA FETs can differ from those at the top of the transistor structures. They also can vary depending on how devices are used, how often and where they are used, and by the diameter of the wires used in a particular design, or even a particular area of a chip or package. It’s not unusual for systems to throttle back performance because some circuits are running too hot.

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Gamers looking for cheats on YouTube are being targeted with links to rogue password-protected archive files designed to install crypto miners and information-stealing malware such as RedLine Stealer on compromised machines.

“The videos advertise cheats and cracks and provide instructions on hacking popular games and software,” Kaspersky security researcher Oleg Kupreev said in a new report published today.

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SparklingGoblin is the name given to a Chinese advanced persistent threat (APT) group with connections to the Winnti umbrella (aka APT41, Barium, Earth Baku, or Wicked Panda). It’s primarily known for its attacks targeting various entities in East and Southeast Asia at least since 2019, with a specific focus on the academic sector.

In August 2021, ESET unearthed a new piece of custom Windows malware codenamed SideWalk (aka ScrambleCross) that was exclusively leveraged by the actor to strike an unnamed computer retail company based in the U.S.

Subsequent findings from Symantec, part of Broadcom software, have linked the use of SideWalk to an espionage attack group it tracks under the moniker Grayfly, while pointing out the malware’s similarities to that of Crosswalk.

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There was once a time, not so long ago, when scientists like Casey Holliday needed scalpels, scissors and even their own hands to conduct anatomical research. But now, with recent advances in technology, Holliday and his colleagues at the University of Missouri are using artificial intelligence (AI) to see inside an animal or a person—down to a single muscle fiber—without ever making a cut.

Holliday, an associate professor of pathology and anatomical sciences, said his lab in the MU School of Medicine is one of only a handful of labs in the world currently using this high-tech approach.

AI can teach computer programs to identify a in an image, such as a CAT scan. Then, researchers can use that data to develop detailed 3D computer models of muscles to better understand how they work together in the body for motor control, Holliday said.

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Recent advancements in the development of machine learning and optimization techniques have opened new and exciting possibilities for identifying suitable molecular designs, compounds, and chemical candidates for different applications. Optimization techniques, some of which are based on machine learning algorithms, are powerful tools that can be used to select optimal solutions for a given problem among a typically large set of possibilities.

Researchers at Colorado State University and the National Renewable Energy Laboratory have been applying state-of-the-art molecular optimization models to different real-world problems that entail identifying new and promising molecular designs. In their most recent study, featured in Nature Machine Intelligence, they specifically applied a newly developed, open-source optimization framework to the task of identifying viable organic radicals for aqueous flow batteries, energy devices that convert into electricity.

“Our project was funded by an ARPA-E program that was looking to shorten how long it takes to develop new energy materials using machine learning techniques,” Peter C. St. John, one of the researchers who carried out the study, told TechXplore. “Finding new candidates for redox flow batteries was an interesting extension of some of our previous work, including a paper published in Nature Communications and another in Scientific Data, both looking at organic radicals.”

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AS man and machine get ever closer, the world of sex tech seems to get a little stranger.

We’ve rounded up some of the most bizarre sex tech inventions that are in the works, including an exoskeleton could let humans make love in the metaverse.

Humans may rely on exoskeletons to have realistic sex in the metaverse, one sex tech expert has revealed.

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