Osaka – Last month, news broke that the Federation of All Toyota Workers' Unions was in talks with the ruling Liberal Democratic Party and Komeito coalition about some form of cooperation. The federation is a key part of the larger umbrella Japanese Trade Union Confederation (Rengo). The confederation has traditionally been one of the most important backers of opposition parties, especially the Constitutional Democratic Party of Japan. The decision by the Toyota workers' federation could spell trouble for CDP candidates who rely on its backing. What is the Federation of All Toyota Workers' Unions? Formed in 1972, the federation consists of about 357,000 members in 314 affiliated unions for workers on production lines and in sales.
Panasonic Corp. said Monday it will start trials in February of home deliveries by a self-driving robot in a residential area in Kanagawa Prefecture as the coronavirus pandemic has raised demand for services with reduced or no human-to-human contact. Panasonic plans to test the feasibility of the delivery service using an autonomous robot that can travel at a maximum speed of 4 kilometers per hour with items for delivery loaded inside. Developed by the Osaka-based firm, the small robot will be used in an area designed to showcase advanced technologies under a joint project with local authorities and other firms. Self-driving robots have gained renewed attention amid the global coronavirus pandemic, which has raised the need for some people to avoid human-to-human contact and stay at home. The virus outbreak has led more people to shop online and have food and other items delivered to their homes, but a labor shortage in a range of industries including parcel delivery has been an issue in Japan.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Universal Studios Japan has announced an opening date for its Super Nintendo World – and you won't have to fall through any sewer pipes to get in. The theme park will open February 4. (Universal Studios Japan) The specialty video game-themed park will be opening February 4, 2021 in Osaka. The world's first Super Nintendo World will consist of a "highly themed and immersive land featuring Nintendo's legendary worlds, characters and adventures where guests will be able to play inside their favorite Nintendo games," according to a press release shared with Fox News.
On Earth, deep time is an open book. By measuring trace radioactive compounds in rocks that decay with metronomic regularity, dating experts have learned when oceans opened, volcanoes erupted, and mass extinctions struck. But the story is muddled elsewhere in the Solar System because records are sparse. Scientists estimate ages on the Moon and the rocky planets from the number of craters that pock their surfaces. They have fixed dates from just nine places, all on the Moon: the six Apollo and three Soviet Luna sites from which samples were returned to laboratories on Earth. China's Chang'e-5 mission, set to launch on 24 November, aims to make it 10, by returning the first Moon rocks since the last Luna mission in 1976. Getting a firm date from another location will improve the shaky crater counting scheme, says Kentaro Terada, a cosmochemist at Osaka University. It will also sharpen the picture of the Moon's history. A fresh sample date “is the most important and exciting new finding [that will come] from the Chang'e-5 samples,” Terada says. Getting it will require a tour-de-force, round-trip space flight that has not been attempted for more than 40 years. Chang'e-5's target is Mons Rümker, a 70-kilometer-wide volcanic mound on the Moon's near side, which may have erupted as recently as about 1.3 billion years ago. It is “the youngest mare basalt on the Moon,” says Xiao Long, a planetary geoscientist at the China University of Geosciences, referring to the dark lava also seen in the Moon's maria, or seas. Brett Denevi, a planetary geologist at Johns Hopkins University's Applied Physics Laboratory and science chair of a NASA lunar analysis group, says China has picked a spot where it can have a big scientific impact. “Understanding the age of those samples and all of the Solar System–wide implications that flow from that result will be a big leap forward for planetary science,” she says. The crater counting method for determining age relies on the notion that surfaces scarred with fewer craters are younger than those that have accumulated more. Regions dated with Apollo and Luna samples have helped calibrate the method. But except for one young outlier, all of those dates cluster between 3.2 billion and 3.9 billion years, leaving the method unanchored, and highly uncertain, for surfaces younger than 3 billion years old, Terada says. “Chang'e-5 samples will provide another data point,” he says. Getting a firm date for Mons Rümker will also shed light on how lunar volcanism changed over time. Evidence suggests numerous eruptions in the first billion years of the Moon's existence blanketed the surface with volcanic basalts, forming the dark maria, before tapering off about 3 billion years ago. If Mons Rümker material proves to be just 1.3 billion years old, it will raise questions about how the interior of a small planetary body remained hot enough to erupt so long after formation, says Romain Tartese, a planetary scientist at the University of Manchester. Retrieving the samples will require a complex deep-space ballet. After launch from the Wenchang launch center in southern China, Chang'e-5 will arrive at the Moon about 3 days later, where an orbiter will release a lander. Over the course of 14 days, the lander's robotic arm will scoop up surface samples and a drill will retrieve cores down to 2 meters. Scientists are hoping for 2 kilograms of material. (NASA's Apollo program brought back more than 380 kilograms; three Soviet robotic Luna missions returned 301 grams.) An ascent vehicle will ferry the samples to the orbiter, where they will be packed into a re-entry capsule for return to Earth and a touchdown in the grasslands of Inner Mongolia. Xiao says international investigators will have access to the samples, but U.S. scientists may not because of limits on cooperation with China set by the U.S. Congress. Chang'e-5 is the latest in a set of increasingly ambitious Moon missions from the China National Space Administration, all named after Chang'e, a Chinese Moon goddess. A pair of orbiters, launched in 2007 and 2010, focused on mapping and remote observations. The lander-rover Chang'e-3 mission, in 2013, carried the first ground-penetrating radar to the lunar surface. In 2019, Chang'e-4, another lander-rover, was the first spacecraft to soft-land on the far side of the Moon. Three more Chang'e missions and a robotic scientific research station are planned by 2035. Results from Chang'e-4, still trundling along after having traveled nearly 600 meters, are raising questions for later missions. The craft landed in the South Pole–Aitken basin, the Moon's largest, deepest, and oldest impact crater, at perhaps 4 billion years. Scientists have calculated that the impacting body likely burrowed 70 kilometers into the Moon and churned material from the mantle up to the surface. In a study published in 2019 in Nature , one group of Chinese scientists said the rover's instruments had detected mantle minerals, but other groups, including Xiao's, have challenged that interpretation. Patrick Pinet, a planetary geophysicist at France's Astrophysics and Planetology Research Institute, says researchers are debating why such an enormous impact apparently did not exhume mantle material—or whether the mantle composition is somehow unexpected. Zou Yongliao, a geochemist at the Chinese Academy of Sciences's National Space Science Center, says China is making the South Pole the focus of its near-term lunar plans. And although the target site has not been revealed for Chang'e-6, another sample return mission, planetary scientists are rooting for South Pole–Aitken. A basin sample would provide clues to the mantle puzzle. It would also anchor the older end of the crater-counting curve, says Carolyn van der Bogert, a planetary geologist at the University of Münster, and “illuminate the early history of the Moon.”
The world's most powerful computer, Fugaku, at the RIKEN Center for Computational Science in Kobe, Japan, built by Fujitsu. The computer, and many other top supercomputers, are increasingly incorporating neural networks used in artificial intelligence to work on the most sophisticated kinds of scientific research problems. The technology of artificial intelligence has become so prevalent in even the most complex domains of science that it now has its own suite of tests to measure its computing time on the world's most powerful computers. MLPerf, the industry consortium that serves the computer industry by measuring how long it takes to run machine learning, a subset of artificial intelligence, on Wednesday offered an inaugural suite of test results for high-performance computing, or HPC, systems running the machine learning tasks. The test results, submitted by a variety of research labs, include results for the world's fastest computer, Fugaku.
The ongoing global pandemic has created an urgent need for rapid tests that can diagnose the presence of the SARS-CoV-2 virus, the pathogen that causes COVID-19, and distinguish it from other respiratory viruses. Now, common respiratory from Japan have demonstrated a new system for single-virion identification of common respiratory pathogens using a machine learning algorithm trained on changes in current across silicon nanopores. This work may lead to fast and accurate screening tests for diseases like COVID-19 and influenza. In a study published this month in ACS Sensors scientists at Osaka University have introduced a new system using silicon nanopores sensitive enough to detect even a single virus particle when coupled with a machine learning algorithm. In this method, a silicon nitride layer just 50 nm thick suspended on a silicon wafer has tiny nanopores added, which are themselves only 300 nm in diameter.
The ongoing global pandemic has created an urgent need for rapid tests that can diagnose the presence of the SARS-CoV-2 virus, the pathogen that causes COVID-19, and distinguish it from other respiratory viruses. Now, researchers from Japan have demonstrated a new system for single-virion identification of common respiratory pathogens using a machine learning algorithm trained on changes in current across silicon nanopores. This work may lead to fast and accurate screening tests for diseases like COVID-19 and influenza.In a study published this month in ACS Sensors scientists at Osaka University have introduced a new system using silicon nanopores sensitive enough to detect even a single virus particle when coupled with a machine learning algorithm.In this method, a silicon nitride layer just 50 nm thick suspended on a silicon wafer has tiny nanopores added, which are themselves only 300 nm in diameter. When a voltage difference is applied to the solution on either side of the wafer, ions travel through the nanopores in a process called electrophoresis.The motion of the ions can be monitored by the current they generate, and when a viral particle enters a nanopore, it blocks some of the ions from passing through, leading to a transient …
OSAKA – A robot capable of asking customers to wear masks and maintain social distancing to stem the spread of the coronavirus is being tested at an Osaka shop. The robot's developer, Advanced Telecommunications Research Institute International out of Kyoto, envisions that it will be used to replace staff in stores and reduce contact between people amid the pandemic. The trial, which began Wednesday at a merchandise store for J. League soccer club Cerezo Osaka in the city's Suminoe Ward, is scheduled to run through Nov. 30 but may be extended. With the layout of the store pre-loaded, the robot, equipped with a camera and sensors, is able to patrol around the store, observe customer movements and measure distance using lasers. The robot identifies customers who are not wearing masks and calls on them to do so after a staff member from the institute confirms via a camera that it has not made an error.
Researchers from Osaka University have combined bio-logging cameras with a machine learning algorithm to help them to shed light on hidden aspects of the lives of seabird species, including gulls and shearwaters. Bio-logging is a technique involving the mounting of small lightweight video cameras and/or other data-gathering devices onto the bodies of wild animals. These systems allow researchers to observe various aspects of animals' lives, such as behaviours and social interactions, with minimal disturbance. However, the considerable battery life required for these high-cost bio-logging systems has proved limiting so far. "Since bio-loggers attached to small animals have to be small and lightweight, they have short runtimes and it was therefore difficult to record interesting infrequent behaviours," explains study corresponding author Takuya Maekawa.
Nagoya – While many people have learned to stay in touch with loved ones, friends, and colleagues through videoconferencing during the COVID-19 pandemic, the reduction of face-to-face interaction has boosted a market for robots providing substitutes for physical human contact. "Healing robots," such as the cuddly humanoid Lovot developed by Groove X Inc., Sony Corp.'s Aibo robotic dog, and Qoobo, a furry cushion with a tail that moves in reaction to strokes developed by Yukai Engineering Inc., are seeing sharp sales rises, the companies say. Lovot and Aibo can gather data on the well-being of their owners and report it remotely, which is why some people are gifting the automatons to their older parents living far away whom they are refraining from visiting due to infection risks. "When people feel uneasy or lonely, they tend to yearn for a sense of physical touch," Hiroshi Ishiguro, a professor of intelligent robotics at Osaka University, said in explaining the reason behind the trend. "Through healing robots, they must be trying to confirm the actual existence of others, which is hard to really feel on the telephone or through videoconferencing," he said. Lovot, a mascot-like robot with round eyes that stands 43 centimeters tall, has even found its way into a kindergarten in Nagoya, to help young children who may be affected by the emotional stresses created by the pandemic.