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Sep 26, 2022

Viruses may monitor their hosts’ environment to spread more effectively

Posted by in category: biotech/medical

This is both good and bad news.

A team of international researchers has revealed that viruses take cues from their surroundings to perform different actions. This implies that they have the ability to sense their and their host’s environment and decide whether or not it is suitable to spread infection, attack the host cells, multiply in number, or suspend activity at any given time.

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Sep 26, 2022

Tech billionaires are poised to make their escape from a ‘possible apocalypse’ through luxury bunkers

Posted by in category: existential risks

“Tech billionaires are buying up luxurious bunkers to survive a societal collapse they helped create,” Rushkoff says.

The world is going to hell in a handbasket. And no, we’re not saying that; science does. It seems that billionaires cannot ignore all the signals pointing at a doomsday scenario while trying to make their way out of this world — or stay in this world.

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Sep 26, 2022

SpaceX has produced a landmark number of Starlink terminals, Elon Musk reveals

Posted by in categories: business, Elon Musk, internet, satellites

It offers services on all seven continents of the world.

SpaceX has crossed the milestone of producing a million Starlink terminals, the company’s CEO Elon Musk confirmed on Twitter earlier today. It is a significant boost for the satellite internet business of the space company, which began accepting preorders only 19 months ago.

Miss Vosk/Flickr.

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Sep 26, 2022

China’s XPeng revealed the world’s fastest charging electric vehicle: 160 mph in 5 mins

Posted by in categories: sustainability, transportation

The electric vehicle also offers the first full-scenario driver assistance.

In an attempt to tackle range anxiety, Chinese automaker XPeng has revealed the fastest charging electric vehicle, G9, which also features industry-first full-scenario driver assistance.

The G9 model from XPeng features a brand-new powertrain system built on China’s first 800 V Silicon Carbide (SiC) mass production platform. The 4C version of the G9 can add up to 160 miles (200 km) of CLTC range in as little as five minutes, thanks to the company’s new 480 kW S4 supercharging stations, which means it can charge from 10–80 percent in just 15 minutes.

Sep 26, 2022

DeepMind’s new chatbot uses Google searches plus humans to give better answers

Posted by in categories: internet, robotics/AI

The lab trained a chatbot to learn from human feedback and search the internet for information to support its claims.

Sep 26, 2022

Crazy nano weapons for future invasions

Posted by in categories: food, futurism

All the money to make weapons no money to buy food n feed the poor. People are Fkd in the head.

Sep 26, 2022

Gary Numan — Films extended

Posted by in category: entertainment

One of the best transhumaism movies was 2001 the space odyssey and one of the stories is the last question by isaac asimov.

Gary Numan — Films extended.

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Sep 26, 2022

Nanopore-based technologies beyond DNA sequencing

Posted by in categories: bioengineering, biotech/medical, chemistry, genetics, nuclear energy

Ideally, the nanopore dimensions should be comparable to those of the analyte for the presence of the analyte to produce a measurable change in the ionic current amplitude above the noise level. Nanopores can be formed in several ways, with a wide range of pore diameters. Biological nanopores are formed by the self-assembly of either protein subunits, peptides or even DNA scaffolds in lipid bilayers or block copolymer membranes1,3,6,17,18. They possess atomically precise dimensions controlled by biopolymer sequences, providing the ability to recognize biomolecules with constriction diameters of ~1–10 nm. Solid-state nanopores are crafted in thin inorganic or plastic membranes (for example, SiNx), which allows the nanopores to have extended diameters of up to hundreds of nanometres, permitting the entry or analysis of large biomolecules and complexes. The tools for fabricating solid-state nanopores, which include electron/ion milling4,5, laser-based optical etching19,20 and the dielectric breakdown of ultrathin solid membranes21,22, can be used to manipulate nanopore size at the nanometre scale, but allow only limited control over the surface structure at the atomic level in contrast to biological nanopores. The chemical modification and genetic engineering of biological nanopores, or the introduction of biomolecules to functionalize solid-state nanopores23, can further enhance the interactions between a nanopore and analytes, improving the overall sensitivity and selectivity of the device2,17,24,25,26. This feature allows nanopores to controllably capture, identify and transport a wide variety of molecules and ions from bulk solution.

Nanopore technology was initially developed for the practicable stochastic sensing of ions and small molecules2,27,28. Subsequently, many developmental efforts were focused on DNA sequencing1,7,8,9. Now, however, nanopore applications extend well beyond sequencing, as the methodology has been adapted to analyse molecular heterogeneities and stochastic processes in many different biochemical systems (Fig. 1). First, a key advantage of nanopores lies in their ability to successively capture many single molecules one after the other at a relatively high rate, which allows nanopores to explore large populations of molecules at the single-molecule level in reasonable timeframes. Second, nanopores essentially convert the structural and chemical properties of the analytes into a measurable ionic current signal, even achieving enantiomer discrimination29. The technology can be used to report on multiple molecular features while circumventing the need for labelling chemistries, which may complicate the overall analysis process and affect the molecular structures. For example, nanopores can discriminate nearly 13 different amino acids in a label-free manner, including some with minute structural differences30. An important aspect is the ability of nanopores to identify species31 that lack suitable labels for signal amplification or whose information is hidden in the noise of analytical devices. Consequently, nanopores may serve well in molecular diagnostic applications required for precision medicine, which achieves the identification of nucleic acid, protein or metabolite analytes and other biomarkers11,32,33,34,35. Third, nanopores provide a well-defined scaffold for controllably designing and constructing biomimetic systems, which involve a complex network of biomolecular interactions. These nanopore systems track the binding dynamics of transported biomolecules as they interact with nanopore surfaces, hence serving as a platform for unravelling complex biological processes (for example, the transport properties of nuclear pore complexes)36,37,38,39. Fourth, chemical groups can be spatially aligned within a protein nanopore, providing a confined chemical environment for site-selective or regioselective covalent chemistry. This strategy has been used to engineer protein nanoreactors to monitor bond-breaking and bond-making events40,41.

Here we discuss the latest advances in nanopore technologies beyond DNA sequencing and the future trajectory of the field, as well as the opportunities and main challenges for the next decade. We specifically address the emerging nanopore methods for protein analysis and protein sequencing, single-molecule covalent chemistry, single-molecule analysis of clinical samples and insights into the use of biomimetic pores for analysing complex biological processes.

Sep 26, 2022

AI Worse at Recognizing Images Than Humans

Posted by in category: robotics/AI

Summary: Most AI models are unable to represent features of human vision, making them worse at recognizing images.

Source: HSE

Researchers from HSE University and Moscow Polytechnic University have discovered that AI models are unable to represent features of human vision due to a lack of tight coupling with the respective physiology, so they are worse at recognizing images.

Sep 26, 2022

Artificial intelligence reduces a 100,000-equation quantum physics problem to only four equations

Posted by in categories: information science, quantum physics, robotics/AI

Using artificial intelligence, physicists have compressed a daunting quantum problem that until now required 100,000 equations into a bite-size task of as few as four equations—all without sacrificing accuracy. The work, published in the September 23 issue of Physical Review Letters, could revolutionize how scientists investigate systems containing many interacting electrons. Moreover, if scalable to other problems, the approach could potentially aid in the design of materials with sought-after properties such as superconductivity or utility for clean energy generation.

“We start with this huge object of all these coupled-together differential equations; then we’re using to turn it into something so small you can count it on your fingers,” says study lead author Domenico Di Sante, a visiting research fellow at the Flatiron Institute’s Center for Computational Quantum Physics (CCQ) in New York City and an assistant professor at the University of Bologna in Italy.

The formidable problem concerns how electrons behave as they move on a gridlike lattice. When two electrons occupy the same lattice site, they interact. This setup, known as the Hubbard model, is an idealization of several important classes of materials and enables scientists to learn how electron behavior gives rise to sought-after phases of matter, such as superconductivity, in which electrons flow through a material without resistance. The model also serves as a testing ground for new methods before they’re unleashed on more complex quantum systems.

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