AI plastering robot developed for construction sites

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Amid the ever-increasing use of artificial intelligence (AI) robots at construction sites, a new robot that can perform concrete plastering work on its own has been developed.

 Hyundai Engineering Co., a plant engineering affiliate of Hyundai Motor Group, announced on Wednesday that it had developed the nation’s first AI plastering robot that can flatten concrete floors by itself, adding that it has applied for related patents.

The AI plastering robot, which was developed in collaboration with Robo Block Systems, is a device that rotates two motors with four micro blades to flatten a floor infilled with concrete.

Compared to existing floor plastering machines, the newly-developed AI robot features a lighter design and a greater usability. By making use of an electric motor, the AI robot generates less noise compared to existing machines that use gasoline motors.

The patented ‘AI plastering robot floor flattening technology’ precisely measures the concrete-infilled floor space with a 3D scanner.

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Designing Artificial Microswimmers for Targeted Drug Delivery

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Many types of motile cells, such as the bacteria in our guts, need to propel themselves through confined spaces filled with viscous liquid. Mathematical models of this cell motion are guiding the design of artificial microswimmers for targeted drug delivery.

Many types of motile cells, such as the bacteria in our guts and spermatozoa in the female reproductive tracts, need to propel themselves through confined spaces filled with viscous liquid. In recent years, the motion of these ‘microswimmers’ has been mimicked in the design of self-propelled micro- and nano-scale machines for applications including targeted drug delivery. Optimising the design of these machines requires a detailed, mathematical understanding of microswimmers in these environments. A large, international group of physicists led by Abdallah Daddi-Moussa-Ider of Heinrich-Heine-Universität Düsseldorf, Germany has now generated mathematical models of microswimmers in clean and surfactant-covered viscous drops, showing that the surfactant significantly alters the swimmers’ behaviour. They have published their work in EPJ E.

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Hyper loop achieves 1,000 KM/H speed in Korea, days after Virgin passenger test

South Korea hopes to launch first hyperloop network in 2024

A hyperloop prototype in South Korea has reached speeds over 1,000km/h, just days after a rival system performed the first successful passenger test using the technology.

The Korean Railroad Research Institute (Korail) announced on Wednesday that a “hyper-tube train” travelling through a vacuum hit a top speed of 1,019km/h (633mph).

The test took place on a scale model and is the first of its kind in the world, according to Business Korea. The previous top speed, also set by Korail, was 714km/h.

South Korea is hoping to launch a hyperloop network by 2024, cutting the journey time between Seoul and Busan from three hours to 30 minutes.

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Interactive virtual reality emerges as a new tool for drug design against COVID-19

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Interactive virtual reality emerges as a new tool for drug design against COVID-19

Bristol scientists have demonstrated a new virtual reality [VR] technique which should help in developing drugs against the SARS-CoV-2 virus—and enable researchers to share models and collaborate in new ways. The innovative tool, created by University of Bristol researchers, and published in the Journal of Chemical Information and Modeling, will help scientists around the world identify anti-viral drug leads more rapidly.

A SARS-CoV-2 enzyme known as the main protease (Mpro) is a promising target in the search for new anti-viral treatments. Molecules that stop the main protease from working—called enzyme inhibitors—stop the virus reproducing, and so could be effective drugs. Researchers across the world are working to find such molecules. A key predictor of a drug’s effectiveness is how tightly it binds to its target; knowing how a drug fits into the protein helps researchers design changes to its structure to make it bind more tightly.

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What can AI learn from Human intelligence?

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At HAI’s fall conference, scholars discussed novel ways AI can learn from human intelligence – and vice versa.

Can we teach robots to generalize their learning? How can algorithms become more commonsensical? Can a child’s learning style influence AI?

Stanford Institute for Human-Centered Artificial Intelligence’s fall conference considered those and other questions to understand how to mutually improve and better understand artificial and human intelligence. The event featured the theme of “triangulating intelligence” among the fields of AI, neuroscience, and psychology to develop research and applications for large-scale impact.

HAI faculty associate directors Christopher Manning, a Stanford professor of machine learning, linguistics, and computer science, and Surya Ganguli, a Stanford associate professor of neurobiology, served as hosts and panel moderators for the conference, which was co-sponsored by Stanford’s Wu-Tsai Neurosciences Institute, Department of Psychology, and Symbolic Systems program.

Speakers described cutting-edge approaches—some established, some new—to create a two-way flow of insights between research on human and machine-based intelligence, for powerful application. Here are some of their key takeaways.

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Arriving soon: Electric aviation for passengers

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Drone pilots don’t need to be told about the wonders of electric flight. But Scientific American believes electric aviation for passengers may be here sooner than we think as the industry struggles to decarbonize.

It’s one of the top ten emerging technologies the magazine highlights in its most recent issue.

In an article co-written by Katherine Hamilton and Tammy Ma, the authors point out that air travel accounted for 2.5 percent of global carbon emissions in 2019. And that number could triple by 2050. Electric airplanes could be one solution.

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The plan to turn scrapped rockets into space stations

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Spent rockets are dangerous space trash, but they could be the future of living and working in orbit.

IN EARLY OCTOBER, a dead Soviet satellite and the abandoned upper stage of a Chinese rocket narrowly avoided a collision in low Earth orbit. If the objects had crashed, the impact would have blown them to bits and created thousands of new pieces of dangerous space debris. Only a few days prior, the European Space Agency had published its annual space environment report, which highlighted abandoned rocket bodies as one of the biggest threats to spacecraft. The best way to mitigate this risk is for launch providers to deorbit their rockets after they’ve delivered their payload. But if you ask Jeffrey Manber, that’s a waste of a perfectly good giant metal tube.

Manber is the CEO of Nanoracks, a space logistics company best known for hosting private payloads on the International Space Station, and for the past few years he has been working on a plan to turn the upper stages of spent rockets into miniature space stations. It’s not a new idea, but Manber feels its time has come. “NASA has looked at the idea of refurbishing fuel tanks several times,” he says. “But it was always abandoned, usually because the technology wasn’t there.” All of NASA’s previous plans depended on astronauts doing a lot of the manufacturing and assembly work, which made the projects expensive, slow, and hazardous. Manber’s vision is to create an extraterrestrial chop shop where astronauts are replaced by autonomous robots that cut, bend, and weld the bodies of spent rockets until they’re fit to be used as laboratories, fuel depots, or warehouses.

The Nanoracks program, known as Outpost, will modify rockets after they’re done with their mission to give them a second life. The first Outposts will be uncrewed stations made from the upper stages of new rockets, but Manber says it’s possible that future stations could host people or be built from rocket stages already in orbit. In the beginning, Nanoracks won’t use the interior of the rocket and will mount experiment payloads, power supply modules, and small propulsion units to the outside of the fuselage. Once company engineers have that figured out, they can focus on developing the inside of the rocket as a pressurized laboratory.

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‘Like having billions of tiny 3D printers’: Scientists train BACTERIA to build complex microscopic structures

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Researchers at Finland’s Aalto University have successfully turned bacteria into a microscopic workforce of nanobots, using molds made of hydrophobic material to create incredibly intricate three-dimensional objects.

The researchers placed the Komagataeibacter medellinensis bacteria in a mould with water and the requisite amount of nutrients like sugar, proteins and air. Once sufficiently fuelled-up, the bacteria begin to produce nano cellulose structures, in line with the hydrophobic (water repellant) mold in which they were placed.

Cellulose is the main component found in the cell walls of plants and substances like wood and cotton.

This type of guided growth through the use of superhydrophobic materials, which also minimize the accumulation of dust and microorganisms, could soon be used for extremely intricate tissue regeneration and organ repair in the human body.

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Alphabet will use beams of light to deliver internet in Kenya

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The moonshot project has a new name, too.

 It’s been a while since we’ve heard about Alphabet’s Free Space Optical Communications (FSOC) project. If you’ve forgotten all about it, we don’t blame you: the acronym doesn’t stick in the mind quite like Google Fiber or Project Loon. To solve the problem, Alphabet’s ‘X’ division has renamed the initiative Project Taara. (I like it, though Project Tidal already starts with the letter ’T.’ If both moonshots ’graduate’ and become fully-fledged companies, one will have to rebrand or ruin Alphabet’s otherwise immaculate naming scheme.) It suggests that Google’s parent company now sees the technology, which uses laser-beaming boxes to deliver connectivity, as something that can eventually become a real business.

In a blog post, Taara general manager Mahesh Krishnaswamy announced that the team is formally working with telecoms giant Econet in Africa. It’s not clear, however, if any money is changing hands. Initially, Taara’s hardware will support Econet subsidiary Liquid Telecom in Kenya. It’s an obvious move given that the moonshot has already trialed its technology in the country, which followed pilots in Andhra Pradesh, a state in India.

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UK Army could be 25-percent robotic by 2030, says British general

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Do you want Skynet? Because this is how you get Skynet

The big picture: The UK military is moving forward with plans to develop and deploy several thousand combat robots, some which might be autonomous. So far, militaries worldwide have avoided using unmanned technologies in combat situations. Semi-autonomous drones have a pilot who is always at the controls, so humans make the final strike decisions, not AI.

British Army leaders think that by 2030 nearly a quarter of the UK’s ground troops will be robots. That is almost 30,000 autonomous and remote-controlled fighting machines deployed within about a decade.

“I suspect we could have an army of 120,000, of which 30,000 might be robots, who knows?” General Sir Nick Carter told The Guardian in an interview.

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