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Majoranas particles found.


Majorana particles have been getting bad publicity: a claimed discovery in ultracold nanowires had to be retracted. Now Leiden physicists open up a new door to detecting Majoranas in a different experimental system, the Fu-Kane heterostructure, they announce in Physical Review Letters.

Majorana particles are quasiparticles: collective movements of particles (electrons in this case) which behave as single particles. If detected in real life, they could be used to build stable quantum computers.

“Majoranas are quantum mechanical superpositions,” explains Gal Lemut. This superposition, a special kind of combination, comprises an electron and a hole (a place in a crystal where an electron is missing.

After stacking the stages of the Space Launch System (SLS) rocket for NASA’s Artemis 1 mission in June and July, EGS and TOSC powered up the Core Stage for the first time in the Vehicle Assembly Building (VAB) at the Kennedy Space Center (KSC) in Florida on August 6. The initial power up was a significant milestone in pre-launch processing, marking the beginning of the systematic checkouts of the vehicle and ground systems that will be used for the first launch on Artemis 1.

Just prior to powering up the Core Stage, the four umbilicals that connect ground services from the Mobile Launcher were attached to quick disconnect plates on the stage’s three major equipment bays: the forward skirt, intertank, and engine section. The Integrated Operations team of EGS and Jacobs and the SLS prime contractors are working almost around clock in the VAB to get through all the installations, checkouts, and special tests in time for a launch no earlier than the end of 2,021 but more likely in early 2022.

Probiotics help prevent some infections in this study.


However, relatively little is known about the mechanisms used by Listeria to cross the intestinal barrier. Understanding more about the way Listeria spreads around the body would allow us to consider strategies for preventing infection in high-risk populations.

At Purdue University in Indiana, USA, Professor Arun Bhunia, Dr Rishi Drolia and the team are researching the mechanisms of pathogenesis (development of disease) used by Listeria to enter the bloodstream.

Seeing the environmental crises rising particularly because of the construction sector, more conscious choices regarding building materials need to be considered. Since the beginning of our craft, architects and constructors have been trying to utilize natural materials in buildings—either used in their raw form, like bamboo, or processed and incorporated into different materials. Hempcrete is one type of concrete incorporating natural materials; it is energy-saving and durable.

Dean’s appearance at TED comes during a time when critics—including current Google employees —are calling for greater scrutiny over big tech’s control over the world’s AI systems. Among those critics was one who spoke right after Dean at TED. Coder Xiaowei R. Wang, creative director of the indie tech magazine Logic, argued for community-led innovations. “Within AI there is only a case for optimism if people and communities can make the case themselves, instead of people like Jeff Dean and companies like Google making the case for them, while shutting down the communities [that] AI for Good is supposed to help,” she said. (AI for Good is a movement that seeks to orient machine learning toward solving the world’s most pressing social equity problems.)

TED curator Chris Andersen and Greg Brockman, co-founder of the AI ethics research group Open AI, also wrestled with the unintended consequences of powerful machine learning systems at the end of the conference. Brockman described a scenario in which humans serve as moral guides to AI. “We can teach the system the values we want, as we would a child,” he said. “It’s an important but subtle point. I think you do need the system to learn a model of the world. If you’re teaching a child, they need to learn what good and bad is.”

There also is room for some gatekeeping to be done once the machines have been taught, Anderson suggested. “One of the key issues to keeping this thing on track is to very carefully pick the people who look at the output of these unsupervised learning systems,” he said.