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HEPS will transform scientific research by enabling high-energy X-ray probing at the nanoscale.


China is poised to unveil its cutting-edge High Energy Photon Source (HEPS) by year’s end, boasting some of the world’s most powerful synchrotron X-rays.

With a staggering investment of 4.8 billion yuan (approximately US$665 million), this facility marks a significant milestone for Asia, propelling China into the elite league of nations with fourth-generation synchrotron light sources.

Situated in Huairou, near downtown Beijing, the circular HEPS facility is a hive of activity as researchers meticulously calibrate thousands of components. These efforts are geared towards creating a light source capable of delving deep into samples, unveiling their molecular and atomic structures in real-time.

The next step for fully integrated textile-based electronics to make their way from the lab to the wardrobe is figuring out how to power the garment gizmos without unfashionably toting around a solid battery. Researchers from Drexel University, the University of Pennsylvania, and Accenture Labs in California have taken a new approach to the challenge by building a full textile energy grid that can be wirelessly charged. In their recent study, the team reported that it can power textile devices, including a warming element and environmental sensors that transmit data in real-time.

This clip is from the following episode: https://youtu.be/xqS5PDYbTsE

Recorded on Oct 18th, 2024
Views are my own thoughts; not Financial, Medical, or Legal Advice.

In this episode, Ray and Peter discuss 2025 predictions, Job loss in the coming years, and Ray’s thoughts on nanotech taking over the world.

Ray Kurzweil is a world-class inventor, thinker, and futurist, with a thirty-five-year track record of accurate predictions. He has been a leading developer in artificial intelligence for 61 years – longer than any other living person. He was the principal inventor of the first CCD flat-bed scanner, omni-font optical character recognition, print-to-speech reading machine for the blind, text-to-speech synthesizer, music synthesizer capable of recreating the grand piano and other orchestral instruments, and commercially marketed large-vocabulary speech recognition software. Ray received a Grammy Award for outstanding achievement in music technology; he is the recipient of the National Medal of Technology, was inducted into the National Inventors Hall of Fame, and holds twenty-one honorary Doctorates. He has written five best-selling books including The Singularity Is Near and How To Create A Mind, both New York Times bestsellers, and Danielle: Chronicles of a Superheroine, winner of multiple young adult fiction awards. His new book, The Singularity Is Nearer was released on June 25th and debuted at #4 on the New York Times Best Seller list. He is a Principal Researcher and AI Visionary at Google.

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Caltech scientists have introduced a revolutionary machine-learning-driven technique for accurately measuring the mass of individual particles using advanced nanoscale devices.

This method could dramatically enhance our understanding of proteomes by allowing for the mass measurement of proteins in their native forms, thus offering new insights into biological processes and disease mechanisms.

Caltech scientists have developed a machine-learning-powered method that enables precise measurement of individual particles and molecules using advanced nanoscale devices. This breakthrough could lead to the use of various devices for mass measurement, which is key to identifying proteins. It also holds the potential to map the complete proteome—the full set of proteins in an organism.

In a laboratory set-up simulating the human stomach and intestine, researchers at the University of Amsterdam have explored the fate of plastic nanoparticles during gastrointestinal digestion. In their paper published in the October issue of Chemosphere, they report how a range of model plastic nanoparticles interact with digestive enzymes and form agglomerates.

Researchers at Berkeley Lab have advanced the understanding of magnetic skyrmions by developing techniques to image their 3D structures.

These nanoscale objects show promise for revolutionizing microelectronics through enhanced data storage capabilities and reduced energy consumption.

A difficult-to-describe nanoscale structure called the magnetic skyrmion holds potential for creating advanced microelectronic devices, including those with vast data storage capacities and significantly lower power requirements.