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Oct 27, 2022

Machine learning could vastly speed up the search for new metals

Posted by in categories: chemistry, physics, robotics/AI

The findings could help pave the way for greater use of machine learning in materials science, a field that still relies heavily on laboratory experimentation. Also, the technique of using machine learning to make predictions that are then checked in the lab could be adapted for discovery in other fields, such as chemistry and physics, say experts in materials science.

To understand why it’s a significant development, it’s worth looking at the traditional way new compounds are usually created, says Michael Titus, an assistant professor of materials engineering at Purdue University, who was not involved in the research. The process of tinkering in the lab is painstaking and inefficient.

Oct 27, 2022

New Starlink dish kit enables services ‘on any moving land object’

Posted by in categories: internet, satellites

TAMPA, Fla. — SpaceX started taking pre-orders Oct. 25 for a flat panel antenna that enables land vehicles to use its Starlink broadband service while in motion.

The company aims to make deliveries starting in December for an upgraded Starlink for RVs service, which currently only comes with a standard $599 Starlink dish designed for stationary use.

The flat panel antenna will cost subscribers $2,500 and is better suited for moving vehicles because its wide area of view can connect to more satellites, according to SpaceX. The company has warned customers that using any other Starlink dish on the go will void their limited warranty.

Oct 27, 2022

See Saturn’s rings in glorious detail in stunning new composite image

Posted by in category: space

A newly processed image, comprising 41 observations by NASA’s retired Cassini mission, provides insights into the origins of Saturn’s rings.

Oct 27, 2022

Scientists Identify a Unique Set of Proteins That Restore Hearing

Posted by in categories: biotech/medical, health

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Researchers at the National Institutes of Health have identified a particular protein network that is necessary for cell regeneration to restore hearing in zebrafish. Researchers at the National Human Genome Research Institute (NHGRI) led the research, which may help in the creation of human hearing loss treatments. The findings were recently published in the journal Cell Genomics.

Many animals, like zebrafish, may recover their hearing after injury through the regeneration of hair cells, however, human hair cell loss cannot be restored. The regenerating properties of zebrafish hair cells inspired researchers to use this species to better understand certain fundamental properties of regeneration.

Oct 27, 2022

Dazzling photographs reveal the world on a microscopic scale

Posted by in category: futurism

SITTING at the intersection of microscopy and art, these dazzling images are some of the best entries for the Nikon Small World 2022 Photomicrography competition, a global contest that showcases the beauty of science on the microscale.

A fly is clasped by its eyes under the chin of a tiger beetle in the image above, the 10th place entry taken by Murat Öztürk. But this is no tender embrace. Thanks to their strong jaws and ability to run at up to 8 kilometres per hour, tiger beetles make for formidable predators for their prey, which also include ants, spiders and caterpillars.

Oct 27, 2022

Robots that can feel cloth layers may one day help with laundry

Posted by in category: robotics/AI

New research from Carnegie Mellon University’s Robotics Institute can help robots feel layers of cloth rather than relying on computer vision tools to only see it. The work could allow robots to assist people with household tasks like folding laundry.

Humans use their senses of sight and touch to grab a glass or pick up a piece of cloth. It is so routine that little thought goes into it. For robots, however, these tasks are extremely difficult. The amount of data gathered through touch is hard to quantify and the sense has been hard to simulate in robotics—until recently.

Continue reading “Robots that can feel cloth layers may one day help with laundry” »

Oct 27, 2022

RIMOWA luggage jumps into the metaverse phygital market with RTFKT NFT collab

Posted by in category: blockchains

After a short period of relative silence, the metaverse became a hot topic again in no small part thanks to Mark Zuckerberg’s and Meta’s most recent buzz, which, unsurprisingly, split people into camps again. Some say or are hoping that the metaverse is already dead and, along with it, the more controversial NFTs. If that were the case, it seems that nobody told luxury luggage maker RIMOWA about it because it seems that the marque will be diving right into this mess when others seem to be silently stepping out. RIMOWA has partnered with Nike-owned digital fashion brand RTFKT to bring its iconic luggage brand to the metaverse via two NFT drops, but RIMOWA fans can rest assured that they can still get this upcoming limited edition luggage in physical form as well.

Designer: RIMOWA x RTFKT.

Oct 27, 2022

China accused of illegal police stations in the Netherlands — BBC News

Posted by in category: government

The Chinese government has been accused of establishing at least two undeclared “police stations” in the Netherlands.

Dutch media found evidence that the “overseas service stations”, which promise to provide diplomatic services, are being used to try to silence Chinese dissidents in Europe.

Continue reading “China accused of illegal police stations in the Netherlands — BBC News” »

Oct 27, 2022

Brightest-Ever Space Explosion Could Help Explain Dark Matter

Posted by in categories: cosmology, particle physics

A recent gamma-ray burst known as the BOAT — “brightest of all time” — appears to have produced a high-energy particle that shouldn’t exist. For some, dark matter provides the explanation.

Oct 27, 2022

How Do You Solve a Problem Like a Proton? You Smash It to Smithereens — Then Build It Back Together With Machine Learning

Posted by in categories: information science, robotics/AI

Berkeley Lab scientists have developed new machine learning algorithms to accelerate the analysis of data collected decades ago by HERA, the world’s most powerful electron-proton collider that ran at the DESY national research center in Germany from 1992 to 2007.