Lifeboat Foundation

AI has finally come full circle.

A new suite of algorithms by Google Brain can now design computer chips —those specifically tailored for running AI software —that vastly outperform those designed by human experts. And the system works in just a few hours, dramatically slashing the weeks-or months-long process that normally gums up digital innovation.

At the heart of these robotic chip designers is a type of machine learning called deep reinforcement learning. This family of algorithms, loosely based on the human brain’s workings, has triumphed over its biological neural inspirations in games such as Chess, Go, and nearly the entire Atari catalog.

The attachment of the small protein ubiquitin to other proteins (ubiquitination) regulates numerous biological processes, including signal transduction and metabolism / Scientists at the University of Cologne discover the link to aging and longevity.

Scientists have discovered that the protein ubiquitin plays an important role in the regulation of the aging process. Ubiquitin was previously known to control numerous processes, such as signal transduction and metabolism. Prof. Dr. David Vilchez and his colleagues at the CECAD Cluster of Excellence for Aging Research at the University of Cologne performed a comprehensive quantitative analysis of ubiquitin signatures during aging in the model organism Caenorhabditis elegans, a nematode worm which is broadly used for aging research.

This method — called ubiquitin proteomics — measures all changes in ubiquitination of proteins in the cell. The resulting data provide site-specific information and define quantitative changes in ubiquitin changes across all proteins in a cell during aging. A comparison with the total protein content of a cell (proteome) showed which changes have functional consequences in protein turnover and actual protein content during aging. The scientists thus discovered new regulators of lifespan and provide a comprehensive data set that helps to understand aging and longevity. The article, ‘Rewiring of the ubiquitinated proteome determines aging in C. elegans,‘has now been published in Nature.

What do you do at different times in the day? What do you eat? How do you interact with your neighbors? These are some of the questions that biologists would love to ask communities of microbes, from those that live in extreme environments deep in the ocean to those that cause chronic infections in humans. Now, a new technique developed at Caltech can answer these questions by surveying gene expression across a population of millions of bacterial cells while still preserving the cells’ positions relative to one another.

The technique can be used to understand the wide variety of microbial communities on our planet, including the microbes that live within our gut and influence our health as well as those that colonize the roots of plants and contribute to soil health, to name a few.

The technique was developed at Caltech by Daniel Dar, a former postdoctoral scholar in the laboratory of Dianne Newman, Gordon M. Binder/Amgen Professor of Biology and Geobiology and executive officer for biology and biological engineering, and by Dr. Nina Dar, a former senior research technician in the laboratory of Long Cai, professor of biology and biological engineering. Daniel Dar is now an assistant professor at the Weizmann Institute of Science in Israel. A paper describing the research appears on August 12 in the journal Science.

This #COVID19 is quite weird it just keeps evolving. In a weird way it is pushing evolution through our immune system. The only thing I know that is similar is like the flu or a bigger organism like cancer. Based on this information the virus just keeps evolving not dying off. Among the weird stuff it doesn’t effect cats or most animals or plants. Basically we either need a universal vaccine which is still being developed or we may need quantum radar to kill off the virus in our bodies when it comes out either that or foglet armor to not breathe it in like Ironman. I find it is just an odd virus as essentially it evolves so fast past even human beings abilities to fend it off even with suits it seems to spread so fast that it cannot be completely contained. From dogs that sniff it out it seems sorta everywhere. I know minor things like high dosages of vitamin c work with zinc and probiotics which was the first way to battle it when it didn’t become this whole pandemic because oddly enough it wasn’t a big deal in previous years because the 19th version of the virus. I know some things that kill it off are ultra violet and lysol as well as bleach. So it makes me think it is more a bioweapon where the universal vaccine would work. But oddly enough I am uncertain if it really dies off especially if it is airborne. If we can destroy the virus by reprogramming it to be sterile or innert or even for it to just kill itself off with crispr like we have done with mosquitoes to stop malaria. We can easily make new vaccines which is good but nearly every year or so there is an entirely new version. This isn’t new but it sorta is like the flu. But there are some theories that I sorta have where it seems to be near heat sources where it grows. Like my uncle who had the virus which we had him turn off electricity and also do vitamin c probiotics and zinc which did work. He ended up getting an antibody naturally this way. I personally got the vaccine and found that it does work but when the new delta version came out it did the same as the last one it sorta just randomly evolves for some reason even smells similar but oddly enough it still remains even after all the lysol. So to me it seems like a bioweapon that is self evolving which is we could use the mechanism to essentially evolve ourselves taking the components of it. If this was a nanobot swarm I would say it spreads from radio waves or something but this virus keeps spreading in odd ways like even from the sky. Which sorta makes me believe that it is sorta being manipulated maybe by a signal perhaps or it has its own program inside it. It reminds me of a Grey goo nanobot swarm that keeps evolving but the biological virus version. I mean it could actually be an exterrestial virus there was a meteorite that came around then and odd things that followed from the meteorite like dogs attacking people and cats attacking people even huge mountain lions. Which makes me think of a sorta an invasion of something. We need to maybe get the viruses input and output to find what it is going to do next. All and all seems odd because even other viruses don’t evolve or like fly or spread that fast. Ideally we should have cyborg nanobots running through Ironman in avengers endgame but so far our best better is treating it like the flu pumping out a new vaccine each year till we know a universal vaccine like using henreitta lacks immortal unlimited cell division cells like they did with polio. But till then we need to keep watching the virus as seems sorta more than it appears based on its original version.

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Researchers from Skoltech, KTH Royal Institute of Technology, and Uppsala University have predicted the existence of antichiral ferromagnetism, a nontrivial property of some magnetic crystals that opens the door to a variety of new magnetic phenomena. The paper was published in the journal Physical Review B.

Chirality, or handedness, is an extremely important fundamental property of objects in many fields of physics, mathematics, chemistry and biology; a chiral object cannot be superimposed on its mirror image in any way. The simplest chiral objects are human hands, hence the term itself. The opposite of chiral is achiral: a circle or a square are simple achiral objects.

Chirality can be applied to much more complex entities; for instance, competing internal interactions in a magnetic system can lead to the appearance of periodic magnetic textures in the structure that differ from their mirror images—this is called chiral ferromagnetic ordering. Chiral crystals are widely considered promising candidates for magnetic data storage and processing device realization as information can be encoded via their nontrivial magnetic textures.

Circa 2013

Wearable Futures: London designer and researcher Shamees Aden is developing a concept for running shoes that would be 3D-printed from synthetic biological material and could repair themselves overnight.

Shamees Aden’s Protocells trainer would be 3D-printed to the exact size of the user’s foot from a material that would fit like a second skin. It would react to pressure and movement created when running, puffing up to provide extra cushioning where required.

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Credit: Dani Clode. #Neuroscience #Research #Biology #Technology

When plants first ventured onto the land, evolving from freshwater-dwelling algae, more than 500 million years ago, they transformed the planet. By drawing carbon dioxide from the air, they cooled Earth, and by eroding rock surfaces they helped build the soil that now covers so much land.

These changes to the planet’s atmosphere and land surface paved the way for the evolution of the biosphere we know. Land plants make up around 80 percent of Earth’s biomass.

The pioneering plants were small and moss-like, and they had to overcome two big challenges to survive on land: avoiding drying out, and surviving the Sun’s harsh ultraviolet light.

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University of Advancing Technology’s Artificial Intelligence (AI) degree explores the theory and practice of engineering tools that simulate thinking, patterning, and advanced decision behaviors by software systems. With inspiration derived from biology to design, UAT’s Artificial Intelligence program teaches students to build software systems that solve complex problems. Students will work with technologies including voice recognition, simulation agents, machine learning (ML), and the internet of things (IoT).

Students pursuing this specialized computer programming degree develop applications using evolutionary and genetic algorithms, cellular automata, artificial neural networks, agent-based models, and other artificial intelligence methodologies. UAT’s degree in AI covers the fundamentals of general and applied artificial intelligence including core programming languages and platforms used in computer science.

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