Fast transport of equipment and personnel using rockets similar to that of SpaceX.
Travelling through space will be far faster than atmospheric flight.
Using Starlink satellites to improve tracking and GPS.
Smart strategies like this can help workers learn to embrace technological change. If the government helps people plan their next move if and when they’re no longer needed in their current job, workers will be able to roll with the economy’s punches more easily. Combined with national health insurance, education and retraining assistance — and a robust unemployment insurance system — it could make terror of job loss a thing of the past.
The U.S. government must assuage people’s anxiety about technology upending their working lives, in part by helping them forge new career paths.
In three towering papers, a team of mathematicians has worked out the details of Liouville quantum field theory, a two-dimensional model of quantum gravity.
REDMOND, Wash.—(BUSINESS WIRE)—Helion Energy (Helion), a clean electricity company committed to creating a new era of clean energy through fusion, today became the first private company to announce exceeding 100 million degrees Celsius in their 6th fusion generator prototype, Trenta. Reaching this temperature is a critical engineering milestone as it is considered the ideal fuel temperature at which a commercial power plant would need to operate. Helion will be presenting these operational results at the 63rd Annual Meeting of the APS Division of Plasma Physics. See abstract below.
“These achievements represent breakthroughs with major implications for how the world meets its expanding future electricity needs while dramatically reducing climate impact on a relevant timescale” Tweet this
Helion also announced their Trenta prototype recently completed a 16-month testing campaign, which pushed fusion fuel performance to unprecedented levels and performed lifetime and reliability testing on key components of the fusion system. Helion will be presenting these results at the 2021 IEEE Pulsed Power Conference & Symposium on Fusion Engineering. See abstract below.
Machine learning techniques have contributed to progress in science and technology fields ranging from health care to high-energy physics. Now, machine learning is poised to help accelerate the development of stronger alloys, particularly stainless steels, for America’s thermal power generation fleet. Stronger materials are key to producing energy efficiently, resulting in economic and decarbonization benefits.
“The use of ultra-high-strength steels in power plants dates back to the 1950s and has benefited from gradual improvements in the materials over time,” says Osman Mamun, a postdoctoral research associate at Pacific Northwest National Laboratory (PNNL). “If we can find ways to speed up improvements or create new materials, we could see enhanced efficiency in plants that also reduces the amount of carbon emitted into the atmosphere.”
Mamun is the lead author on two recent, related journal articles that reveal new strategies for machine learning’s application in the design of advanced alloys. The articles chronicle the research outcomes of a joint effort between PNNL and the National Energy Technology Laboratory (NETL). In addition to Mamun, the research team included PNNL’s Arun Sathanur and Ram Devanathan and NETL’s Madison Wenzlick and Jeff Hawk.
Satellite parts that melt away during reentry reduce the risk of space debris impacts on Earth.
Some researchers suspect these bacterial ancestors living within our cells may contribute to a wide range of neurological and psychiatric disorders.
By Diana Kwon.
Long before the earliest animals swam through the water-covered surface of Earth’s ancient past, one of the most important encounters in the history of life took place. A primitive bacterium was engulfed by our oldest ancestor — a solo, free-floating cell. The two fused to form a mutually beneficial relationship that has lasted more than a billion years, with the latter providing a safe, comfortable home and the former becoming a powerhouse, fueling the processes necessary to maintain life.
Hyundai Motor Group said Tuesday that it has officially completed its acquisition of robotics company Boston Dynamics. The deal was announced in December and valued Boston Dynamics at $1.1 billion. The purchase sees Hyundai pick up an 80 percent controlling stake in the company, with the previous owner, Softbank, retaining 20 percent ownership.
The deal will hopefully create a stable home for Boston Dynamics, which has continued to pump out the world’s most impressive robots despite continual ownership changes. The company was spun off from MIT in 1992 and survived for most of its life on DARPA research grants. Google acquired the independent Boston Dynamics in 2013 as part of a brief interest in robotics led by Android co-founder Andy Rubin. Google freed the company from surviving on military contracts, but when Rubin left Google a year later, the executive interest in robotics left with him.
Summary: Combining deep learning algorithms with robotic engineering, researchers have developed a new robot able to combine vision and touch.
Source: EBRAINS / human brain project.
On the new EBRAINS research infrastructure, scientists of the Human Brain Project have connected brain-inspired deep learning to biomimetic robots.
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