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"Japanese supercomputer simulations showed that wearing two masks gave limited benefit in blocking viral spread compared with one properly fitted mask. The findings in part contradict recent recommendations from the U.S. Centers of Disease Control and Prevention (CDC) that two masks were better than one at reducing a person's exposure to the coronavirus. Researchers used the Fugaku supercomputer to model the flow of virus particles from people wearing different types and combinations of masks, according to a study released on Thursday by research giant Riken and Kobe University."

""Considering that just 10 years ago, China claimed a mere 28 systems on the list, with none ranked in the top 30, the nation has come further and faster than any other country in the history of supercomputing," said Top500. The US has four supercomputers in the top 10 of the Top500 list, while China has two which currently occupy the top two places. The other positions in the top 10, published twice a year, are occupied by machines from Japan, Switzerland, Germany and Saudi Arabia."

"It might not sound like much, but the success of the Minwa supercomputer, which can sort a million images into a thousand predefined categories with an error rate less than the typical human, makes it the latest secret weapon of the company known as "China's Google", Baidu."

""There's no sense in which this is a technology that will lead the science fiction walking, talking, intelligent robot", says Furber, "because they'd need a head the size of an aircraft hangar and a nuclear power station attached to it.""

"According to Folding@Home, the organisation that runs the distributed computing effort, the combined power of the network broke 1,000,000,000,000,000,000 operations per second - or one "exaflop" - on 25 March."

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"The robots, which are less than 1mm long, are designed by an "evolutionary algorithm" that runs on a supercomputer. "

"The computer had revealed a new theory about how Covid-19 impacts the body: the bradykinin hypothesis. "

"The problem with digital technology is that, for engineers, it is both intrinsically fascinating and seductively challenging, which means that they acquire a kind of tunnel vision: they are so focused on finding solutions to the technical problems that they are blinded to the wider context. At the moment, for example, the consensus-establishing processes for verifying blockchain transactions requires intensive computation, with a correspondingly heavy carbon footprint. Reducing that poses intriguing technical challenges, but focusing on them means that the engineering community isn't thinking about the governance issues raised by the technology. There may not be any central authority in a blockchain but, as Vili Lehdonvirta pointed out years ago, there are rules for what constitutes a consensus and, therefore, a question about who exactly sets those rules. The engineers? The owners of the biggest supercomputers on the chain? Goldman Sachs? These are ultimately political questions, not technical ones."

"Finally, I can play Minecraft with a 24 chunk render distance"