Lifeboat Foundation

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.

Many economists, however, are sceptical whether the impact of the digital yuan would significantly spread beyond its borders without official reforms to relax the yuan’s exchange rate convertibility.

China’s sovereign digital currency could be launched later this year, with the likes of Alibaba’s Alipay and Tencent’s WeChat Pay already popular payment methods.

The constantly intensifying battle against viruses and antibiotic-resistant “superbugs” isn’t only about finding stronger drugs against infection. The focus is moving to preventing infections in the first place.

That’s why large companies such as Carrefour and a Far East luxury hotel chain are looking at unique germ-vanquishing textiles invented by Jerusalem’s Argaman Technologies and manufactured inside its custom-built factory.

Carrefour Group, a French-based superstore chain with 12,000 retail stores in 30 countries, is testing Argaman’s CottonX — billed as the world’s first bio-inhibitive 100 percent cotton – in a line of uniforms dubbed “The Uniform that Cares.”

Several supercomputers in Europe have been hacked in the past few days. Attackers are thought to use these supercomputers for mining Monero (XMR).

A massive attack was carried out on some supercomputers based in Germany, the UK and Switzerland. These events first surfaced with the announcement of the University of Edinburgh on Monday. University of Edinburgh; He explained that the supercomputer known as ARCHER has detected a “vulnerability in the input nodes” and the system has been disabled. Authorities had to reset their SSH password to prevent the attack.

The attacks were not limited to this. An organization called bwHPC in Germany also made a statement on Monday, and five different supercomputers in Germany; It announced that it was closed due to “vulnerabilities” similar to those in the UK.

A senior Chinese government official confirmed Friday that authorities ordered laboratories to destroy samples of coronavirus in early January.

Secretary of State Mike Pompeo had accused Chinese officials of ordering the samples’ destruction as part of the regime’s cover-up of the coronavirus outbreak in its early stages.

Pompeo said on April 22 that China “censored those who tried to warn the world, it ordered a halt to testing of new samples, and it destroyed existing samples.” He offered more specificity on May 6, stating that China’s National Health Commission [NHC] ordered virus samples destroyed on Jan. 3.

CloudWalk has raised RMB 1.8 billion (US$254 million) in funding from a group of provincial and municipal funds in China to become the fourth most well-funded biometric facial recognition company in the country, according to a report in Chinese-language publication 36Kr covered by its English-language affiliate KrAsia.

CloudWalk intends to launch an IPO on Shanghai’s Star Market by the end of 2020, according to the report. The company has raised a total of RMB 2.8 billion ($400 million) so far.

CloudWalk provides facial recognition for numerous public agencies, including the Bank of China, Shanghai Pudong Airport, and China Mobile’s brick and mortar stores.

may 2020

Thousands of Swedes have been pioneering the use of futuristic microchips that are implanted under the skin of the hand.

The technology is used for everyday tasks like accessing your smartphone, opening the front door or setting an alarm.

Continue reading “Will microchip implants be the next big thing in Europe?” »

Electric car maker Tesla Inc plans to introduce a new low-cost, long-life battery in its Model 3 sedan in China later this year or early next that it expects will bring the cost of electric vehicles in line with gasoline models, and allow EV batteries to have second and third lives in the electric power grid.

For months, Tesla Chief Executive Elon Musk has been teasing investors, and rivals, with promises to reveal significant advances in battery technology during a “Battery Day” in late May.

New, low-cost batteries designed to last for a million miles of use and enable electric Teslas to sell profitably for the same price or less than a gasoline vehicle are just part of Musk’s agenda, people familiar with the plans told Reuters.

DARPA has selected seven university and industry teams for the first phase of the Optimization with Noisy Intermediate-Scale Quantum devices (ONISQ) program. Phase 1 of the program began in March and will last 18 months.

ONISQ aims to exploit quantum information processing before universal fault-tolerant quantum computers are realized, which isn’t expected for many years. The program is pursuing a hybrid concept that combines intermediate-sized quantum devices (hundreds to thousands of quantum bits, or qubits) with classical computing systems to solve a particularly challenging set of problems known as combinatorial optimization.

ONISQ seeks to demonstrate a quantitative advantage of quantum information processing by leapfrogging the performance of classical-only systems in solving optimization challenges. If successful, ONISQ could be applied to optimization problems of interest to defense and commercial industry, such as global logistics management, electronics manufacturing, and protein-folding.