By BeauHD from Slashdot's explain-like-I'm-five department
An anonymous reader quotes a report from Ars Technica: The company's development of the Falcon 9 rocket, with nine engines, had given Musk confidence that SpaceX could scale up to 27 engines in flight, and he believed this was a better overall solution for the thrust needed to escape Earth's gravity. To explain why, the former computer scientist used a computer metaphor. "It's sort of like the way modern computer systems are set up," Musk said. "With Google or Amazon they have large numbers of small computers, such that if one of the computers goes down it doesn't really affect your use of Google or Amazon. That's different from the old model of the mainframe approach, when you have one big mainframe and if it goes down, the whole system goes down."
For computers, Musk said, using large numbers of small computers ends up being a more efficient, smarter, and faster approach than using a few larger, more powerful computers. So it was with rocket engines. "It's better to use a large number of small engines," Musk said. With the Falcon Heavy rocket, he added, up to half a dozen engines could fail and the rocket would still make it to orbit. The flight of the Falcon Heavy likely bodes well for SpaceX's next rocket, the much larger Big Falcon Rocket (or BFR), now being designed at the company's Hawthorne, California-based headquarters. This booster will use 31 engines, four more than the Falcon Heavy. But it will also use larger, more powerful engines. The proposed Raptor engine has 380,000 pounds of thrust at sea level, compared to 190,000 pounds of thrust for the Merlin 1-D engine.Read Replies (0)
By BeauHD from Slashdot's what-to-avoid department
Asparagus and other foods like potatoes, nuts, legumes and soy contain a compound known as asparagine, which researchers believe helps drive the spread of breast cancer to other organs. "When scientists reduced asparagine in animals with breast cancer, they found that the number of secondary tumors in other tissues fell dramatically," The Guardian reports. "The spread of malignant cells, often to the bones, lungs and brain, is the main cause of death among patients who are diagnosed with breast cancer." From the report: Asparagine is an amino acid that is made naturally in the body as a building block for proteins. But it is also found in the diet, and in high levels in certain meats, vegetables and dairy products. The international team of cancer specialists from Britain, the U.S., and Canada studied mice with an aggressive form of breast cancer. The mice develop secondary tumors in a matter of weeks and tend to die from the disease within months. Writing in the journal Nature, the researchers describe how they reduced the ability of breast cancer to spread in the animals by blocking asparagine with a drug called L-asparaginase. To a lesser extent, by putting the animals on a low-asparagine diet worked too. Inspired by the results, the scientists examined records from human cancers and found that breast tumors that churned out the most asparagine were most likely to spread, leading patients to die sooner. The same was seen in cancers of the head, neck and kidney.Read Replies (0)
By BeauHD from Slashdot's new-tricks department
ClockEndGooner writes: Researchers at the Technische Universitat Wein have created a simulation of a simple worm's neural network, and have been able to replicate its natural behavior to completely mimic the worm's natural reflexive behavior. According to the article, using a simple neural network of 300 neurons, the simulation of "the worm can find its way, eat bacteria and react to certain external stimuli. It can, for example, react to a touch on its body. A reflexive response is triggered and the worm squirms away. This behavior is determined by the worm's nerve cells and the strength of the connections between them. When this simple reflex network is recreated on a computer, the simulated worm reacts in exactly the same way to a virtual stimulation -- not because anybody programmed it to do so, but because this kind of behavior is hard-wired in its neural network." Using the same neural network without adding any additional nerve cells, Mathias Lechner, Radu Grosu, and Ramin Hasani were able to have the nematode simulation learn to balance a pole "just by tuning the strength of the synaptic connections. This basic idea (tuning the connections between nerve cells) is also the characteristic feature of any natural learning process."Read Replies (0)
By BeauHD from Slashdot's what-will-they-think-of-next department
An anonymous reader shares an excerpt from a report via Quartz: As we've turned our gaze away from the stars and toward our screens, our anxiety about humanity's ultimate fate has shifted along with it. No longer are we afraid of aliens taking our freedom: It's the technology we're building on our own turf we should be worried about. The advent of artificial intelligence is increasingly bringing about the kinds of disturbing scenarios the old alien blockbusters warned us about. In 2016, Microsoft's first attempt at a functioning AI bot, Tay, became a Hitler-loving mess an hour after it launched. Tesla CEO Elon Musk urged the United Nations to ban the use of AI in weapons before it becomes "the third revolution in warfare." And in China, AI surveillance cameras are being rolled out by the government to track 1.3 billion people at a level Big Brother could only dream of. As AI's presence in film and TV has evolved, space creatures blowing us up now seems almost quaint compared to the frightening uncertainties of an computer-centric world. Will Smith went from saving Earth from alien destruction to saving it from robot servants run amok. More recently, Ex Machina, Chappie, and Transcendence have all explored the complexities that arise when the lines between human and robot blur.
However, sentient machines aren't a new anxiety. It arguably all started with Ridley Scott's 1982 cult classic, Blade Runner. It's a stunning depiction of a sprawling, smog-choked future, filled with bounty hunters muttering "enhance" at grainy pictures on computer screens. ("Alexa, enlarge image.") The neo-noir epic popularized the concept of intelligent machines being virtually indistinguishable from humans and asked the audience where our humanity ends and theirs begin. Even alien sci-fi now acknowledges that we've got worse things to worry about than extra-terrestrials: ourselves.Read Replies (0)
By BeauHD from Slashdot's first-of-its-kind department
In a bid to attract businesses involved in blockchain and cryptocurrencies, Arizona lawmakers have proposed a bill that would allow the state's citizens to pay their taxes in bitcoin. "Arizona State Rep. Jeff Weninger, who introduced the bill, said it was a signal to everyone in the United States, and possibly throughout the world, that Arizona was going to be the place to be for blockchain and digital currency technology in the future," reports Investopedia. From the report: Weninger, a Republican, also cited the ease of making online payments through the cryptocurrency "while you're watching television," as another reason. But he did not divulge much detail about the implementation of such a system. That might be the reason why Weninger faces an uphill battle in getting the bill approved by the state legislature. Bitcoin's price volatility is already being cited as a possible roadblock to implementing such a measure by state legislators. Arizona state senator Steve Farley, a Democrat who's running for governor, said the bill puts the "volatility burden" of bitcoin's price on taxpayers who make payments in U.S. dollars. "It would mean that the money goes to the state and then the state has to take responsibility of how to exchange it," Farley said.Read Replies (0)
By BeauHD from Slashdot's fix-it-again department
schwit1 shares a report from Ars Technica, highlighting the problems the Germany Navy is facing right now. It has no working submarines due to a chronic repair parts shortage, and its newest ships face problems so severe that the first of the class failed its sea trials and was returned to the shipbuilders in December. From the report: The Baden-Wurttemberg class frigates were ordered to replace the 1980s-era Bremen class ships, all but two of which have been retired already. At 149 meters (488 feet) long with a displacement of 7,200 metric tons (about 7,900 U.S. tons), the Baden-Wurttembergs are about the size of destroyers and are intended to reduce the size of the crew required to operate them. Like the Zumwalt, the frigates are intended to have improved land attack capabilities -- a mission capability largely missing from the Deutsche Marine's other post-unification ships. The new frigate was supposed to be a master of all trades -- carrying Marines to deploy to fight ashore, providing gunfire support, hunting enemy ships and submarines, and capable of being deployed on far-flung missions for up to two years away from a home port. As with the U.S. Navy's LCS ships, the German Navy planned to alternate crews -- sending a fresh crew to meet the ship on deployment to relieve the standing crew.
< article continued at Slashdot's fix-it-again department
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By msmash from Slashdot's other-side-of-the-coin department
Bitcoin has essentially become the poster child for cryptocurrencies, and that's a problem for cybercriminals dealing on the dark web. From a report: Researchers from Recorded Future, a threat intelligence company, looked through 150 of the dark web's top marketplaces and forums and found that bitcoin's boom is driving shady characters away from the cryptocurrency. The rise of bitcoin has brought cryptocurrency -- digital alternatives to government-issued money -- to the mainstream, enticing people who are looking to get rich quick. Last December, bitcoin hit its all-time high at nearly $20,000, but it has since slumped and as of Thursday is trading at a little over the $8,000 mark. But before it was a massive investment that millionaires bought, it was the dark web's currency of choice, thanks to its decentralized and anonymous structure.Read Replies (0)
By msmash from Slashdot's little-boost department
Andrew Flemming and Geoff Fowler, both 29, along with their friend and business partner, Will Hamilton, 37, were pouring their creative energies into a high-tech training device the likes of which the sporting world had never seen. They were building a better broom. From a report: Not just any broom, but one that they thought could be essential to the sport of curling, which relies on the best broom handling out there as teams strategically cajole a polished granite rock across a sheet of ice. They wound up calling it the SmartBroom, and in a sport that can come across as vaguely primordial, their piece of 21st-century gadgetry could play a role in determining who wins gold at the 2018 Winter Olympics in Pyeongchang, South Korea. Each SmartBroom has four sensors in the broom head that relay data to a small display unit. Hamilton took one for a spin down the ice, and the data was instantaneous -- line graphs along with a slew of numbers that showed his force in pounds and his stroke rate in hertz. Hamilton also pointed to a figure that he described as his "sweeping performance index," or S.P.I., a metric that combines power and speed in one easy-to-digest figure. Patrick Janssen, a world-class curler from Canada, has consistently registered an S.P.I. in the 2,800 range. The numbers by themselves might not mean much, Flemming said, but subtle changes in technique can lead to big differences in the quality of each stroke. And now curlers have that information at their disposal. They can experiment to see which stroke works best for them.Read Replies (0)
By msmash from Slashdot's chaff-from-wheat department
Jason Pontin, writing for Wired: Sundar Pichai, the chief executive of Google, has said that AI "is more profound than ... electricity or fire." Andrew Ng, who founded Google Brain and now invests in AI startups, wrote that "If a typical person can do a mental task with less than one second of thought, we can probably automate it using AI either now or in the near future." Their enthusiasm is pardonable. [...] But there are many things that people can do quickly that smart machines cannot. Natural language is beyond deep learning; new situations baffle artificial intelligences, like cows brought up short at a cattle grid. None of these shortcomings is likely to be solved soon. Once you've seen you've seen it, you can't un-see it: deep learning, now the dominant technique in artificial intelligence, will not lead to an AI that abstractly reasons and generalizes about the world. By itself, it is unlikely to automate ordinary human activities. To see why modern AI is good at a few things but bad at everything else, it helps to understand how deep learning works. Deep learning is math: a statistical method where computers learn to classify patterns using neural networks. [...] Deep learning's advances are the product of pattern recognition: neural networks memorize classes of things and more-or-less reliably know when they encounter them again. But almost all the interesting problems in cognition aren't classification problems at all.Read Replies (0)