Rapid inbound links

By April 24, 2016ai, bigdata, machinelearning


What caught my focus a short while ago:

  • “Massive suggestions emerge from spills, crashes, unsuccessful experiments and blind stabs …. As individuals dredge the unfamiliar, they are partaking in a very imaginative act …. the routines that completely transform a error into a breakthrough” ([1])
  • Loads of details on tips, personalization, and experimentation at Netflix in a new ACM paper ([1])
  • Entertaining and fascinating Slate short article on how Facebook selects posts for the news feed ([1])
  • New paper statements the filter bubble for news is a lot more powerful in what individuals self-find and on social media than in look for and tips ([1])
  • “Bayesian plan finding out (BPL) framework, capable of finding out a large class of visible ideas from just a solitary illustration and generalizing in means that are primarily indistinguishable from individuals” ([1] [two] [3])
  • NIPS 2015 paper on difficulties that accumulate in equipment finding out programs, such as dependencies amongst features, dependencies amongst styles that construct off every other, and intricate and fragile info preprocessing ([1])
  • “Ought to they train [self-driving] cars how to dedicate infractions from time to time to continue to be out of difficulty?” ([1])
  • Wal-mart is executing inadequately towards Amazon, which is shocking, I consider ([1])
  • Fantastic short article on solution administration. I specially like the points that most items fall short (so you should hope to experiment, adapt, and iterate) and that a excellent solution is about activities not features ([1])
  • “Individuals maintain mentioning how distinctive items are to the interval just before the AI winter” ([1])
  • “Smartwatches nonetheless have a extensive way to go in phrases of proving their usefulness, requirement, and fashion” ([1])
  • “CYA protection: given the decision amongst overreacting to a risk and wasting everyone’s time, and underreacting and most likely shedding your task, it is effortless to overreact.” ([1])
  • A new $7M XPrize for autonomous undersea drones ([1] [two])
  • Simulating the World in Emoji is a quite fun academic simulation, identical to the Synthetic Everyday living get the job done a while again, wonderful for children ([1])
  • From the Exploratorium Museum, a demo of how wave motion arises from swirling smaller movements in drinking water ([1])
  • Dilbert comedian on tech jargon ([1])
  • Pearls Ahead of Swine comedian on clickthrough agreements ([1])
  • SMBC comedian: “Update 9.1.two.001.241 has been a take a look at of your loyalty.” ([1])




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