Retail giant Amazon has just opened a 10,400 square foot, cashierless grocery store, located in Seattle. Is this the future of shopping?
However, labeling aging itself as a disease is both misleading and detrimental. Pathologizing a universal process makes it seem toxic. In our youth-obsessed society, ageism already runs rampant in Hollywood, the job market, and even presidential races. And calling aging a disease doesn’t address critical questions about why we age in the first place. Instead of calling aging a disease, scientists should aim to identify and treat the underlying processes that cause aging and age-related cellular deterioration.
Aging is associated with heart disease, Alzheimer’s, diabetes, and cancer, but what’s underlying all that?
In 1966, Japanese physicist Yosuke Nagaoka predicted the existence of a rather striking phenomenon: Nagaoka’s ferromagnetism. His rigorous theory explains how materials can become magnetic, with one caveat: the specific conditions he described do not arise naturally in any material. Researchers from QuTech, a collaboration between TU Delft and TNO, have now observed experimental signatures of Nagaoka ferromagnetism using an engineered quantum system. The results were published today in Nature.
Familiar magnets such as the ones on your refrigerator are an everyday example of a phenomenon called ferromagnetism. Each electron has a property called ‘spin’, which causes it to behave like a miniscule magnet itself. In a ferromagnet, the spins of many electrons align, combining into one large magnetic field. This seems like a simple concept, but Nagaoka predicted a novel and surprising mechanism by which ferromagnetism could occur—one that had not been observed in any system before.
Last summer, the National Security Commission on Artificial Intelligence asked to hear original, creative ideas about how the United States would maintain global leadership in a future enabled by artificial intelligence. RAND researchers stepped up to the challenge.
“Send us your ideas!” That was the open call for submissions about emerging technology’s role in global order put out last summer by the National Security Commission on Artificial Intelligence (NSCAI). RAND researchers stepped up to the challenge, and a wide range of ideas were submitted. Ten essays were ultimately accepted for publication.
The NSCAI, co-chaired by Eric Schmidt, the former chief executive of Alphabet (Google’s parent company), and Robert Work, the former deputy secretary of defense, is a congressionally mandated, independent federal commission set up last year “to consider the methods and means necessary to advance the development of artificial intelligence, machine learning, and associated technologies by the United States to comprehensively address the national security and defense needs of the United States.”
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Each 80-square-foot structure has a single bed, desk and chair, shelves and air conditioner/heater.
Just laser it will go off course.
AN ASTEROID capable of ending human civilisation if it hits will approach our planet in April, NASA’s asteroid trackers have confirmed.
Rice University computer scientists have overcome a major obstacle in the burgeoning artificial intelligence industry by showing it is possible to speed up deep learning technology without specialized acceleration hardware like graphics processing units (GPUs).
Computer scientists from Rice, supported by collaborators from Intel, will present their results today at the Austin Convention Center as a part of the machine learning systems conference MLSys.
Many companies are investing heavily in GPUs and other specialized hardware to implement deep learning, a powerful form of artificial intelligence that’s behind digital assistants like Alexa and Siri, facial recognition, product recommendation systems and other technologies. For example, Nvidia, the maker of the industry’s gold-standard Tesla V100 Tensor Core GPUs, recently reported a 41% increase in its fourth quarter revenues compared with the previous year.
If it works, they would be able to input quantum information into one “black hole” circuit, which would scramble, then consume it. After a little while, that information would pop out of the second circuit, already unscrambled and decrypted. That sets it apart from existing quantum teleportation techniques, Quanta reports, as transmitted information emerges still fully scrambled and then needs to be decrypted, making the process take longer and be less accurate as an error-prone quantum computer tries to recreate the original message.
While the idea of entangled black holes and wormholes conjures sci-fi notions of intrepid explorers warping throughout the cosmos, that’s not quite what’s happening here.
Rather, it’s an evocative way to improve quantum computing technology. Recreating and entangling the bizarre properties of black holes, University of California, Berkely researcher Norman Yao told Quanta, would “allow teleportation on the fastest possible timescale.”
