Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 4826

Talking about some of the ideas and philosophy surrounding life extension technologies. Our own psychology and coping mechanisms that view death as a good thing. The same way we used to see some diseases as a part of a gods plan. As soon as we cured these diseases, somehow they were not a part of gods plan anymore. The same will happen with aging and death, and that is just a matter of time. Picking apart some of the ways of thinking that suggest a longer life would be a boring or bad thing. We live for all of the pleasant and amazing experiences that we can have in the world, what else could possibly matter more. The end and absence of meaning (death) does not give life meaning. It is life that gives life meaning.

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Google’s parent firm, Alphabet, has long been working on multipurpose robots.

The fleet of “Everyday Robots,” as they are colloquially called, has recently been upgraded with sophisticated AI language systems so that they can better comprehend human speech.

Unlike other robots, which can only understand clear directions like “bring me a drink of water,” the fleet can now understand and act on more subtle ones.

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A new study by theoretical physicists has made progress toward identifying how particles and cells give rise to large-scale dynamics that we experience as the passage of time.

A central feature of how we experience the world is the flow of time from the past to the future. But it is a mystery precisely how this phenomenon, known as the arrow of time, arises from the microscopic interactions among particles and cells. Researchers at the CUNY Graduate Center Initiative for the Theoretical Sciences (ITS) are helping to unravel this enigma with the publication of a new paper in the journal Physical Review Letters. The findings could have important implications in a wide range of disciplines, including physics, neuroscience, and biology.

Fundamentally, the arrow of time emerges from the second law of thermodynamics. This is the principle that microscopic arrangements of physical systems tend to increase in randomness, moving from order to disorder. The more disordered a system becomes, the more difficult it is for it to find its way back to an ordered state, and the stronger the arrow of time. In short, the universe’s propensity toward disorder is the fundamental reason why we experience time flowing in one direction.

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“I believe we can train the algorithm not only to picture accurately a face you’re looking at, but also any face you imagine vividly, such as your mother’s,” explains Dado.

“By developing this technology, it would be fascinating to decode and recreate subjective experiences, perhaps even your dreams,” Dado says. “Such technological knowledge could also be incorporated into clinical applications such as communicating with patients who are locked within deep comas.”

Dado’s work is focused on using the technology to help restore vision in people who, through disease or accident, have become blind, reports the Mail Online.

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The success of COVID-19 vaccines is a great example of gene medicine’s tremendous potential to prevent viral infections. One reason for the vaccines’ success is their use of lipid nanoparticles, or LNPs, to carry delicate messenger RNA to cells to generate and boost immunity. LNPs—tiny fat particles—have become increasingly popular as a carrier to deliver various gene-based medicines to cells, but their use is complicated because each LNP must be tailored specifically for the therapeutic payload it carries.

A team led by Hai-Quan Mao, a Johns Hopkins materials scientist, has created a platform that shows promise to speed up the LNP design process and make it more affordable. The new approach also can be adapted to other gene therapies.

“In a nutshell, what we have done is creating a method that screens lipid nanoparticle components and their proportions to quickly help identify and create the optimal design for use with various therapeutic ,” said Mao, director of the Institute for NanoBioTechnology at Johns Hopkins Whiting School of Engineering and professor in the departments of Materials Science and Engineering and Biomedical Engineering.

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Basically this means halting and controlling cellular death which would reverse the death process :3.

During pyroptosis, gasdermin D (GSDMD) forms plasma membrane pores that initiate cell lysis. Here, the authors develop optogenetically activatable human GSDMD to assess GSDMD pore behavior and show that they are dynamic and can close, which can be a pyroptosis regulatory mechanism.

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In recent years, deep learning algorithms have achieved remarkable results in a variety of fields, including artistic disciplines. In fact, many computer scientists worldwide have successfully developed models that can create artistic works, including poems, paintings and sketches.

Researchers at Seoul National University have recently introduced a new artistic framework, which is designed to enhance the skills of a sketching . Their framework, introduced in a paper presented at ICRA 2022 and pre-published on arXiv, allows a sketching robot to learn both stroke-based rendering and motor control simultaneously.

“The primary motivation for our research was to make something cool with non-rule-based mechanisms such as deep learning; we thought drawing is a cool thing to show if the drawing performer is a learned robot instead of human,” Ganghun Lee, the first author of the paper, told TechXplore. “Recent deep learning techniques have shown astonishing results in the artistic area, but most of them are about generative models which yield whole pixel outcomes at once.”

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The lead in some bullets used for hunting deer, moose, and elk is toxic to the humans who eat the harvested meat and to scavenger animals that feast on remains left in the field.

A team of researchers from the Canadian Light Source at the University of Saskatchewan (USask) and the College of Medicine at USask has for the first time used synchrotron imaging to study both the size and spread of bullet fragments in big game shot by hunters. Their findings were published today in PLOS ONE.

Like a scene right out of the hit television series CSI, the research team fired bullets into blocks of ballistic gelatin—the same material used by for ballistic testing—and examined the resulting fragments using synchrotron imaging.

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