10 Memorial Day Reads

Hope you are enjoying your long holiday weekend. Round it off with some early morning reads:

• How Iraq has left us with the biggest financial bubble in history (Telegraph)
• Fed chair affirms plans for rate hike this year (Wonkblog)
• Piles of Overseas Profits Investors Can See but Not Touch (NYT)
• Ignore the annual first quarter recession (TRB)
• A Home Buyer’s Guide to a Seller’s Market (WSJ)
• Terry Gross to Marc Maron: ‘Life Is Harder Than Radio (KQED)
• How to Read A Book (Farnam Street)
• Economists Offer These 10 Career Tips for Today’s Graduates (Bloomberg)
• The Challenge of Counting D-Day’s Dead (fivethirtyeight)
•  Meet the Meathead Using Science and Sarcasm to Get Grilling Right (Bloombergsee also AmazingRibs.com is all about the Science of Barbecue, Grilling, and Outdoor Cooking (amazing ribs)

What are you reading?


New Report Shows Unequal State of Community Credit

Source: City Lab



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What's been said:

Discussions found on the web:
  1. howardoark commented on May 25

    Illinois has better credit than Texas or California?

  2. Molesworth commented on May 25

    Telegraph article is a fascinating read with interesting perspective.
    We are still fighting WWI.
    And now doing it for Israel but still getting it wrong.
    Comments on Blair are precious. He appears to be more hated than W.

    • Iamthe50percent commented on May 25

      Well, Blair did once say that George W Bush was the most intelligent man he had ever met. That indicates he either was raised in the wild by wolves or is the biggest liar the UK ever produced.

  3. Jojo commented on May 25

    Another step closer to the ultimate obsolescence of humans…
    New Approach Trains Robots to Match Human Dexterity and Speed
    MAY 21, 2015

    BERKELEY, Calif. — In an engineering laboratory here, a robot has learned to screw the cap on a bottle, even figuring out the need to apply a subtle backward twist to find the thread before turning it the right way.

    This and other activities — including putting a clothes hanger on a rod, inserting a block into a tight space and placing a hammer at the right angle to remove a nail from a block of wood — may seem like pedestrian actions.

    But they represent significant advances in robotic learning, by a group of researchers at the University of California, Berkeley, who have trained a two-armed machine to match human dexterity and speed in performing these tasks.

    The new approach includes a powerful artificial intelligence technique known as “deep learning,” which has previously been used to achieve major advances in both computer vision and speech recognition. Now the researchers have found that it can also be used to improve the actions of robots working in the physical world on tasks that require both machine vision and touch.



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