Businesses

Foxconn is Confusing the Hell Out of Wisconsin (theverge.com) 102

Josh Dzieza, writing for The Verge: The secrecy and vagueness are frustrating to critics. How do you prove that Foxconn won't build an enormous LCD factory during an industry glut or create a research campus larger than MIT in rural Wisconsin other than by pointing out that experts -- and even, occasionally, Foxconn executives -- say it makes no sense? State House Minority Leader Gordon Hintz recently appointed himself to the board of WEDC, and Foxconn's continued promises of 13,000 jobs make him palpably furious. Speaking in slow, measured tones in his Madison office as he packed for a trip, he said the state needs to "right-size" the project to something realistic, likely a few hundred research jobs, and that Foxconn needs to be honest about its plans. "For something that had a 25-year payback, building a factory because the president wants you to for reasons that have nothing to do with market viability is insane." Hintz believes Foxconn is trying to slow-walk the project until 2020, continuing to use it to win Trump's goodwill in the trade war and waiting to see who's elected. Foxconn has responded. Nilay Patel, writing for The Verge: Today, Foxconn responded to that piece by... announcing another innovation center in Wisconsin, this one in Madison, the state's capital. The building, which currently houses a bank, actually sits directly across the street from the Capitol building, and it will continue to house the bank because Foxconn did not announce when it would be moving in. Here are some other things Foxconn did not announce: how much it had paid for the building, how many floors of the building it would occupy, how many people would work there, or what those people would be doing. It did announce that it would be rebranding the building "Foxconn Place Madison," however.
United States

Washington State Commits To Running Entirely On Clean Energy By 2045 (gizmodo.com) 82

An anonymous reader quotes a report from Gizmodo: On Thursday, the Washington state legislature officially passed one of the most ambitious clean energy bills in the nation. Washington is now committed to making the state's electricity supply carbon neutral by 2030 and 100 percent carbon-free by 2045. The bill makes the fourth state to commit to 100 percent clean energy and adds a feather to the cap of Governor Jay Inslee who requested the bill be introduced. Inslee is running as a climate candidate for president that can get things done in the District if elected, and this bill is a very tangible accomplishment he can now point to.

The bill previously passed the state senate 28-19. After passing the house 56-42 on Thursday, the legislation goes back to the senate for a final vote. Once signed into law, Washington will join, Hawaii, California, and New Mexico as the fourth state committed to 100 percent clean energy. Washington, D.C. and Puerto Rico have also made similar commitment as well as more than 90 cities, according to tracking by the Sierra Club. The bill shuts the door on coal, saying it "is the policy of the state to eliminate coal-fired electricity." By calling for energy to come from carbon-free sources by 2045, it leaves the door open for nuclear power. [...] In addition to committing to cutting emissions, the bill is also designed to ensure the transition to renewables and any bumps in energy prices aren't shouldered by the poor. The bill calls says utilities "must make funding available for energy assistance to low-income households."

Robotics

A Robot Has Figured Out How To Use Tools (technologyreview.com) 68

In a startling demonstration, the machine drew on experimentation, data, and observation of humans to learn how simple implements could help it achieve a task. From a report: Learning to use tools played a crucial role in the evolution of human intelligence. It may yet prove vital to the emergence of smarter, more capable robots, too. New research shows that robots can figure out at least the rudiments of tool use, through a combination of experimenting and observing people. Chelsea Finn, a researcher at Google Brain, and Sergey Levine, an assistant professor at UC Berkeley, developed the robotic system together with several of Levine's students. The setup consists of an off-the-shelf robot arm that can be controlled by a person or a computer. It also includes a camera that sees the environment within reach of the arm -- and, most important, a computer running a very large neural network that lets the robot learn.

The robot worked out how to make use of simple implements, including a dustpan and broom and a duster, to move other objects around. The work hints at how robots might someday learn to perform sophisticated manipulations, and solve abstract problems, for themselves. "It's exciting because it means the robot can figure out what to do with a tool in situations it hasn't seen before," Finn says. "We really want to study that sort of generality, rather than a robot learning to use one tool."

Data Storage

The Black Hole Image Data Was Spread Across 5 Petabytes Stored On About Half a Ton of Hard Drives (vice.com) 293

An anonymous reader quotes a report from Motherboard: On Wednesday, an international team of scientists published the first image of a black hole ever. It looked like a SpaghettiO, and yet the image was an incredible scientific achievement that gave humanity a glimpse of one of the universe's most destructive forces and confirmed long-held theories -- namely, that black holes exist. Storing the raw data for the image was a feat itself -- tiny portions of data spread across five petabytes stored on multiple hard drives, the equivalent of 5,000 years worth of MP3s. Katie Bouman, a computer scientist and assistant professor at the California Institute of Technology, led the development of the algorithm that imaged the black hole. An image of her posing with some of the data drives went viral as observers praised her success.

The massive amounts of data were essential to creating the image of the black hole. Bouman and other scientists coordinated radio telescopes all over the Earth, each pointed at the black hole and gathering data at different times. The data scientists then pieced this information together and used an algorithm to fill in the blanks and generate a likely image of the black hole. The five petabytes of data took up such a massive amount of digital and physical space it couldn't be sent over the internet. Instead, the hard drives were flown to processing centers in Germany and Boston where the data was assembled. On Reddit's /r/datahoarder subreddit, a community dedicated to spreading the passion of hoarding vast amounts of data, the drives were bigger news than the scientific achievement itself.

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