Lifeboat Foundation

Like all countries, China is facing severe economic losses from the pandemic, and that will certainly have a negative impact on scientific research, because funding will be reduced and projects will be delayed, says physicist Wang Yifang, director of the Institute of High Energy Physics in Beijing. Some universities have already announced a cut in funding. The research budget given by the education ministry to Jiangnan University in Wuxi, for example, will drop by more than 25% for 2020, and other universities are facing similar reductions. “An overall budget cutting of government spending on higher education is highly possible, though the level and scope may vary by regions, universities and fields,” says Tang Li, a science-policy scientist at Fudan University in Shanghai.

The country is rapidly gaining on the United States in research, but problems could slow its rise: part 5 in a series on science after the pandemic.

#Eternal life might not be attainable in the near future, but genetic engineers and doctors are working on new life extension technology. The research could lead to keeping our bodies young, and scientists are developing ways of downloading our brain’s consciousness onto digital media once the body is at the end of its life cycle.

#RT #Documentary offers you in-depth documentary films on topics that will leave no one indifferent. It’s not just front-page stories and global events, but issues that extend beyond the headlines. Social and environmental issues, shocking traditions, intriguing personalities, history, sports and so much more – we have documentaries to suit every taste. RTD’s film crews travel far and wide to bring you diverse and compelling stories. Discover the world with us!

Continue reading “Chasing immortality | The Future is Now” »

Dr. Michael R. Rose is Professor at Department of Ecology and Evolutionary Biology at University Of California, Irvine. His main area of work has been the evolution of aging.
“Our task is to make nature, the blind force of nature, into an instrument of universal resuscitation and to become a union of immortal beings.“
- Nikolai F. Fedorov

We hold faith in the technologies & discoveries of humanity to END AGING and Defeat involuntary Death within our lifetime.

Continue reading “Dr. Michael R. Rose presents ‘Biological Immortality is REAL’” »

Education Saturday with Space Time.

This episode of space time is brought to you by the information flowing through an impossibly complex network of quantum entanglement, that just happens to mutually agree that you and I exist inside it. Oh, and Schrodinger’s cat is in here too.

Continue reading “How Do Quantum States Manifest In The Classical World?” »

Zhou Yi was terrible at math. He risked never getting into college. Then a company called Squirrel AI came to his middle school in Hangzhou, China, promising personalized tutoring. He had tried tutoring services before, but this one was different: instead of a human teacher, an AI algorithm would curate his lessons. The 13-year-old decided to give it a try. By the end of the semester, his test scores had risen from 50% to 62.5%. Two years later, he scored an 85% on his final middle school exam.

“I used to think math was terrifying,” he says. “But through tutoring, I realized it really isn’t that hard. It helped me take the first step down a different path.”

Skoltech researchers have offered a solution to the problem of searching for materials with required properties among all possible combinations of chemical elements. These combinations are virtually endless, and each has an infinite multitude of possible crystal structures; it is not feasible to test them all and choose the best option (for instance, the hardest compound) either in an experiment or in silico. The computational method developed by Skoltech professor Artem R. Oganov and his PhD student Zahed Allahyari solves this major problem of theoretical materials science. Oganov and Allahyari presented their method in the MendS code (stands for Mendelevian Search) and tested it on superhard and magnetic materials.

“In 2006, we developed an algorithm that can predict the crystal structure of a given fixed combination of chemical elements. Then we increased its predictive powers by teaching it to work without a specific combination — so one calculation would give you all stable compounds of given elements and their respective crystal structures. The new method tackles a much more ambitious task: here, we pick neither a precise compound nor even specific chemical elements — rather, we search through all possible combinations of all chemical elements, taking into account all possible crystal structures, and find those that have the needed properties (e.g., highest hardness or highest magnetization)” says Artem Oganov, Skoltech and MIPT professor, Fellow of the Royal Society of Chemistry and a member of Academia Europaea.

The researchers first figured out that it was possible to build an abstract chemical space so that compounds that would be close to each other in this space would have similar properties. Thus, all materials with peculiar properties (for example, superhard materials) will be clustered in certain areas, and evolutionary algorithms will be particularly effective for finding the best material. The Mendelevian Search algorithm runs through a double evolutionary search: for each point in the chemical space, it looks for the best crystal structure, and at the same time these found compounds compete against each other, mate and mutate in a natural selection of the best one.

Education Saturday with Space Time.

To quote eminent scientist Tyler Durden: “On a long enough timeline, the survival rate for everyone drops to zero.” Actually… not necessarily true. If the quantum multiverse is real there may be a version of you that lives forever.

Continue reading “Does Quantum Immortality Save Schrödinger’s Cat?” »

With the help of the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory, Juliette Stecenko is exploring cosmology—a branch of astronomy that investigates the origin and evolution of the universe, from the Big Bang to today and into the future. As an intern through DOE’s Science Undergraduate Laboratory Internships (SULI) program, administered at Brookhaven by the Office of Educational Programs (OEP), Stecenko is using modern supercomputers and quantum computing platforms to perform astronomy simulations that may help us better understand where we came from.

Stecenko works under the guidance of Michael McGuigan, a computational scientist in the quantum computing group at Brookhaven’s Computational Science Initiative. The two have been collaborating on simulating Casimir energy—a small force that two electrically neutral surfaces held a tiny distance apart will experience from quantum, atomic, or subatomic fluctuations in the vacuum of space. The vacuum energy of the universe and the Casimir pressure of this energy could be a possible explanation of the origin and evolution of the universe, as well a possible cause of its accelerated expansion.

“Casimir energy is something scientists can measure in the laboratory and is especially important for nanoscience, or in cosmology, in the very early universe when the universe was very small,” McGuigan said.

Cassowaries are big flightless birds with blue heads and dinosaur-looking feet; they look like emus that time forgot, and they’re objectively terrifying. They’re also, along with their ostrich and kiwi cousins, part of the bird family that split off from chickens, ducks, and songbirds 100 million years ago. In songbirds and their relatives, scientists have found that the physical make-up of feathers produce iridescent colors, but they’d never seen that mechanism in the group that cassowaries are part of—until now. In a double-whammy of a paper in Science Advances, researchers have discovered both what gives cassowary feathers their glossy black shine and what the feathers of birds that lived 52 million years ago looked like.

“A lot of times we overlook these weird flightless birds. When we’re thinking about what early birds looked like, it’s important to study both of these two sister lineages that would have branched from a common ancestor 80 million or so years ago,” says Chad Eliason, a staff scientist at the Field Museum and the paper’s first author.

“Understanding basic attributes—like how colors are generated—is something we often take for granted in living animals. Surely, we think, we must know everything there is to know? But here, we started with simple curiosity. What makes cassowaries so shiny? Chad found an underlying mechanism behind this shine that was undescribed in birds. These kinds of observations are key to understanding how color evolves and also inform how we think about extinct species,” says Julia Clarke, a paleontologist at the Jackson School of Geosciences at the University of Texas at Austin and the paper’s senior author. Eliason began conducting research for this paper while working with Clarke at the University of Texas as part of a larger project funded by the National Science Foundation (NSF EAR 1355292) to study how flightless birds like cassowaries have evolved their characteristic features.