Menu

Blog

Page 7517

May 18, 2020

Two Studies Just Revealed How Twisted Graphene Gets Even Weirder at a ‘Magic Angle’

Posted by in categories: computing, quantum physics

Graphene has already proven itself to be a weird and wonderful material in many different ways, but its properties get even more unusual and exotic when it’s twisted – and two new studies have given scientists a much closer look at this intriguing phenomenon.

When two sheets of graphene are put together at slightly different angles, the resulting material becomes either very effective at conducting electricity, or very effective at blocking it. It’s known as ‘magic-angle’ twisted graphene, and knowing more about how and why this happens could lead to advances in high-temperature superconductors and quantum computing.

Now for the first time, scientists have mapped out a twisted graphene structure in its entirety, and at a very high resolution. They’ve also been able to get ‘graphene twistronics’ working with four layers of graphene as well as just two.

May 18, 2020

Behavioral biometrics and continuous authentication advance as business adapts to remote everything

Posted by in categories: biotech/medical, business, privacy, security

Even as dramatic social change has been imposed by COVID-19, the kinds of fraud attacks companies experience and the biometric authentication technologies they use to prevent them have remained basically the same. What has changed is that online volumes of traffic, transactions and authentications have reached levels they were expected to years in the future, BehavioSec VP of Products Jordan Blake told Biometric Update in an interview.

As a result, he says, “timelines are getting advanced.”

Demand is coming from new verticals, according to Blake, as numerous people begin using the online channel to interact with many organizations they never have dealt with that way before.

May 18, 2020

Why investing in identity access management is a must-do in a time of remote working

Posted by in categories: biotech/medical, economics

This is a guest post by Shahrokh Shahidzadeh, CEO at Acceptto

These past two months have been among the most extraordinary times any of us can remember. The COVID-19 (CV-19) impact is all around us, indiscriminately impacting all of our lives, our work, the economy and for sure we are on the onset of a new normal that we are learning how to deal with daily.

There are always two stages of dealing with a change of this magnitude. First, we react immediately, thinking about what we must do differently now. Soon, we will begin to think in the longer term, reacting to and planning for permanent changes that result from the CV-19 pandemic.

May 18, 2020

SpaceX, Boeing Race to Put Astronauts in Space From the US

Posted by in category: space travel

With the biggest launch in nearly a decade two weeks away, it’s been a two-horse race in the new “space race”.

May 18, 2020

Morpheus: Powerful New AI Technique Detects and Classifies Astronomical Objects

Posted by in categories: robotics/AI, space

UCSC researchers developed a deep-learning framework called Morpheus to perform pixel-level morphological classifications of objects in astronomical images.

Researchers at UC Santa Cruz have developed a powerful new computer program called Morpheus that can analyze astronomical image data pixel by pixel to identify and classify all of the galaxies and stars in large data sets from astronomy surveys.

Morpheus is a deep-learning framework that incorporates a variety of artificial intelligence technologies developed for applications such as image and speech recognition. Brant Robertson, a professor of astronomy and astrophysics who leads the Computational Astrophysics Research Group at UC Santa Cruz, said the rapidly increasing size of astronomy data sets has made it essential to automate some of the tasks traditionally done by astronomers.

May 18, 2020

The World’s First Manned Aerobatic Racing Drone Is Really Impressive

Posted by in categories: drones, futurism

In the near future, we will have manned drones going at blistering speeds and doing crazy aerobatic stunts.

May 18, 2020

How X-Ray Images Of Ancient Microfossils Will Help Identify Life On Mars

Posted by in categories: alien life, particle physics

Researchers use energy from a next-generation particle accelerator to probe microfossils inside ancient Earth rocks.

May 18, 2020

Research Shows Promise of Technology Used by Turn Biotechnologies to Develop Therapies for Age-Related Diseases

Posted by in categories: biotech/medical, life extension

“We’ve wondered if it might be possible to simply rewind the aging clock without inducing pluripotency,” said Vittorio Sebastiano, assistant professor at Stanford University and senior author of the Nature Communications article. “Now we’ve found that tightly controlling the exposure to these proteins can promote rejuvenation in multiple human cell types, including stem cells. This has profound implications for regeneration and restoration of cell functionality of aged tissues.”


MOUNTAIN VIEW, Calif., March 25, 2020 /PRNewswire/ — A study published in the respected Nature Communications journal highlights the promise of technology being developed by Turn Biotechnologies to treat age-related health conditions.

The study by researchers at the Stanford University School of Medicine found that old human cells can be induced into a more youthful and vigorous state when they are exposed to a rejuvenating treatment that triggers the limited expression of a group of proteins known as Yamanaka factors, which are important to embryonic development.

Continue reading “Research Shows Promise of Technology Used by Turn Biotechnologies to Develop Therapies for Age-Related Diseases” »

May 18, 2020

Convalescent plasma is safe to treat COVID-19: nationwide study

Posted by in category: biotech/medical

The most comprehensive national study to date has found that convalescent plasma appears to be safe to use on COVID-19 patients, a promising development in the race to find a treatment for the deadly virus. But the study didn’t determine whether the treatment works.

A team of more than 5,000 doctors from over 2,000 hospitals and laboratories have been testing the experimental therapy, which involves transfusing the antibody-rich blood serum of recovered COVID-19 patients into people who are battling the illness.

May 18, 2020

New Evolutionary Algorithm Predicts Optimal Materials Among All Possible Compounds

Posted by in categories: chemistry, education, information science, space

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.