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Articles related to "anti"


I spend a lot of time working with my hands outdoors — this healing balm brings my dry and weathered skin back to life

  • That's why I keep SallyeAnder's Rescue Me intensive care balm on my office desk, which I use to heal everything from chapped lips to dry hands, as well as all kinds of burns, scrapes, sores, and more.
  • Though not listed on Amazon, the ingredients are right on the tin, in order as follows: soy, cocoa, olive, shea, and castor oils, beeswax, rosehip, Centella Asiatica, wheat germ, frankincense, Canadian balsam, cistus absolute, rosemary, spearmint, rose geranium, eucalyptus, white camphor, thyme, tea tree, vetiver, clove, and benjamin essential oils.
  • Let's just say that after a weekend spent fishing and hunting, my hands, lips, and sundry scrapes and burns are healed up just in time to go do it all over again on Friday night.

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Boeing slides on report that employees may have misled the FAA on the doomed 737 Max

  • Boeing's stock price slid as much as 4% Friday on a report that the airplane maker may have misled the Federal Aviation Administration in 2016 regarding the 737 Max. According to Reuters, Boeing turned over internal messages between two employees to the FAA that show the company's employees may have lied about a key safety feature on the grounded aircraft model.
  • The messages refer to the performance of the MCAS anti-stall system, which has been connected to the two fatal 737 Max crashes that resulted in 346 deaths.
  • The system malfunctioned during both flights and sent the planes into irreversible nose dives.
  • According to The New York Times, pilot Mark Forkner complained in the messages that the system wasn't working properly.
  • Shares of Boeing are up about 10% year-to-date.

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Internal messages suggest Boeing misled the FAA about fatal 737 Max safety issues

  • WASHINGTON (Reuters) - Boeing Co <BA.N> turned over instant messages from 2016 between two employees that suggest the airplane maker may have misled the Federal Aviation Administration about a key safety system on the grounded 737 MAX, sources briefed on the matter said.
  • Sources told Reuters the Boeing internal messages raised questions about the performance of the so-called MCAS anti-stall system that has been tied to the two fatal crashes in five months.
  • Boeing declined to immediately comment.

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Kellogg joins GLAAD for anti-bullying campaign with All Together cereal

  • The new concoction isn't just a kid's breakfast dream -- it's an anti-bullying campaign.
  • Kellogg's is partnering with the Gay and Lesbian Alliance Against Defamation (GLAAD) to release a cereal called "All Together," mixing cereals and their mascots to support anti-bullying and LGBTQ advocacy work.
  • The cereals are packaged individually inside a purple box.
  • All Together is available for a limited time in honor of Spirit Day, an anti-bullying campaign that has millions of people wear purple to stand up against bullying.
  • Along with the cereal campaign, Kellogg's also pledged to donate $50,000 to GLAAD in support of the group's efforts.

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Making Convolutional Networks Shift-Invariant Again

  • Existing work propose various methods to add anti-aliasing capabilities to downsampling, such as by extracting features densely, by softly gating between max and average pooling or with convolutional kernel networks.
  • By computing the internal feature distance throughout the layers of the VGG network for various horizontal and vertical shifts, we observe that the anti-aliased network maintains better shift-equivariance, and the resulting output is more shift-variant.
  • For image generation, low-pass filters are added to strided-convolution layers of the U-Net architecture.
  • Classical signal processing practices blurring for anti-aliasing, but it has disappeared in modern convolutional networks in an aim to optimize performance.
  • With this paper's results demonstrating adding anti-aliasing to current convolutional networks improves both shift-equivariance and task performance, it is perhaps time to bring back blurring filters and make convolutional networks shift-invariant again!

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Trump's top China adviser appears to have made up expert he regularly quoted

  • Vara's true identity was revealed by an Australian academic, who began to investigate him after being asked to write an article on anti-China rhetoric for a local politics and foreign affairs blog.
  • Tessa Morris-Suzuki, a professor emeritus of Japanese history at the Australian National University, told CNN she tried to find Vara after being asked to write an article on anti-China rhetoric for a local politics and foreign affairs blog.
  • The longtime China hawk is considered among the architects of the Trump administration's trade war with Beijing and has been regularly been part of the US delegation sent to negotiate a potential deal with the Chinese government.
  • The academic said as she read through Navarro's books, the most recent of which have focused heavily on China, Ron Vara began to express increasingly anti-Beijing views in his works.

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Making Convolutional Networks Shift-Invariant Again

  • Existing work propose various methods to add anti-aliasing capabilities to downsampling, such as by extracting features densely, by softly gating between max and average pooling or with convolutional kernel networks.
  • By computing the internal feature distance throughout the layers of the VGG network for various horizontal and vertical shifts, we observe that the anti-aliased network maintains better shift-equivariance, and the resulting output is more shift-variant.
  • For image generation, low-pass filters are added to strided-convolution layers of the U-Net architecture.
  • Classical signal processing practices blurring for anti-aliasing, but it has disappeared in modern convolutional networks in an aim to optimize performance.
  • With this paper's results demonstrating adding anti-aliasing to current convolutional networks improves both shift-equivariance and task performance, it is perhaps time to bring back blurring filters and make convolutional networks shift-invariant again!

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Making Convolutional Networks Shift-Invariant Again

  • Existing work propose various methods to add anti-aliasing capabilities to downsampling, such as by extracting features densely, by softly gating between max and average pooling or with convolutional kernel networks.
  • By computing the internal feature distance throughout the layers of the VGG network for various horizontal and vertical shifts, we observe that the anti-aliased network maintains better shift-equivariance, and the resulting output is more shift-variant.
  • For image generation, low-pass filters are added to strided-convolution layers of the U-Net architecture.
  • Classical signal processing practices blurring for anti-aliasing, but it has disappeared in modern convolutional networks in an aim to optimize performance.
  • With this paper's results demonstrating adding anti-aliasing to current convolutional networks improves both shift-equivariance and task performance, it is perhaps time to bring back blurring filters and make convolutional networks shift-invariant again!

save | comments | report | share on


Making Convolutional Networks Shift-Invariant Again

  • Existing work propose various methods to add anti-aliasing capabilities to downsampling, such as by extracting features densely, by softly gating between max and average pooling or with convolutional kernel networks.
  • By computing the internal feature distance throughout the layers of the VGG network for various horizontal and vertical shifts, we observe that the anti-aliased network maintains better shift-equivariance, and the resulting output is more shift-variant.
  • For image generation, low-pass filters are added to strided-convolution layers of the U-Net architecture.
  • Classical signal processing practices blurring for anti-aliasing, but it has disappeared in modern convolutional networks in an aim to optimize performance.
  • With this paper's results demonstrating adding anti-aliasing to current convolutional networks improves both shift-equivariance and task performance, it is perhaps time to bring back blurring filters and make convolutional networks shift-invariant again!

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A History of Chop Suey

  • A dish which arrived with the Gold Rush, spread with the railway and endured prohibition was Chinese by origin, but claimed by America.
  • When, in 1896, the Chinese viceroy of Zhili, Li Hongzhang, visited New York, newspapers inaccurately reported that, while he had rejected Western dishes at a banquet given in his honour, he had enthusiastically tucked into a plate of chop suey.
  • Whether out of a misplaced desire to differentiate themselves from the common hoard, or because of a residual mistrust of migrants, well-to-do young sophisticates who fancied themselves as connoisseurs of Chinese cuisine began claiming that chop suey wasn’t Chinese at all – but an American hoax.
  • In 1905, the Boston Globe tracked down six Chinese students who said they had never heard of it in China; and three years later, the Kansas City Star lamented that in none of the city’s chop sueys was ‘real Chinese cooking served’.

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