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Blog – Page 6003

As they post openings overseas, more people are wondering what it’s like to work for them. This year, CNBC reported on tech workers in the United Kingdom who turned down job offers at TikTok, which is owned by China’s ByteDance, after encountering stories about an intense work environment there.

Those people cited fears of the so-called “996” work culture practiced by some companies in China, which requires employees to work from 9 a.m. to 9 p.m., six days a week. A TikTok spokesperson told CNBC in May of this year that “we absolutely do not have ‘996′ policies.”

CNBC interviewed 10 current and former employees of Chinese tech firms to ask what work life is like in those companies’ Singapore offices. Most requested anonymity owing to fear of repercussions or because they do not have permission to speak to the media.

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Rolls-Royce, the 115-year-old iconic British Engineering firm, has now achieved a new feat. After manufacturing world-class jet engines, it has left its mark in the electric aviation world.

Spirit of Innovation, a single-seat, electric-powered propeller plane built by Rolls-Royce, obliterated the zero-emission speed record, reaching over 556 kilometers per hour (345 mph) over a three-kilometer distance—and even maxing out at 623 kilometers per hour. This flight successfully smashed all previous records of electric planes which are environment friendly.

With a clarion call given by the COP26 on the need to cut emissions, Rolls-Royce has presented itself as a company that could earnestly provide that solution. With the aviation industry registering a record number of flights after a year of lockdowns, the emissions are set to grow further.

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WASHINGTON, D.C. — Today, the U.S. Department of Energy (DOE) announced $5.7 million for six projects that will implement artificial intelligence methods to accelerate scientific discovery in nuclear physics research. The projects aim to optimize the overall performance of complex accelerator and detector systems for nuclear physics using advanced computational methods.

“Artificial intelligence has the potential to shorten the timeline for experimental discovery in nuclear physics,” said Timothy Hallman, DOE Associate Director of Science for Nuclear Physics. “Particle accelerator facilities and nuclear physics instrumentation face a variety of technical challenges in simulations, control, data acquisition, and analysis that artificial intelligence holds promise to address.”

The six projects will be conducted by nuclear physics researchers at five DOE national laboratories and four universities. Projects will include the development of deep learning algorithms to identify a unique signal for a conjectured, very slow nuclear process known as neutrinoless double beta decay. This decay, if observed, would be at least ten thousand times more rare than the rarest known nuclear decay and could demonstrate how our universe became dominated by matter rather than antimatter. Supported efforts also include AI-driven detector design for the Electron-Ion Collider accelerator project under construction at Brookhaven National Laboratory that will probe the internal structure and forces of protons and neutrons that compose the atomic nucleus.

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