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Subject: Next Big Future - 3 new articles
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- Penn Researchers Improve Living Tissues With 3D Printed Vascular Networks Made From Sugar
- Successful businesses will be those that optimize the mix of humans, robots, and algorithms
- Observation and Measurement of a 59 million light year long Dark Matter Filament
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Bioengineers can already make 2D structures out of many kinds of tissue, but one of the major roadblocks to making the jump to 3D is keeping the cells within large structures from suffocating; organs have complicated 3D blood vessel networks that are still impossible to recreate in the laboratory.
Technology Review - In Automate This, a book due out next month, author and entrepreneur Christopher Steiner tells the story of stockbroker Thomas Peterffy, the creator of the first automated Wall Street trading system. Using a computer to execute trades, without humans entering them manually on a keyboard, was controversial in 1987—so controversial that Nasdaq pressured him to unplug from its network. Then, with a wink, Peterffy built an automated machine that could tap out the trades on a traditional keyboard—technically obeying Nasdaq rules. Peterffy made $25 million in 1987 and is now a billionaire.
Today, automated trading bots account for nearly three-quarters of U.S. equity trading by volume. Trading houses plow millions into fiber optics and microwave dishes so their algorithms can send trades a millisecond faster than the next guys'. And although the first trading robot was built 25 years ago, most of the change on Wall Street has occurred during just the last few years. When it comes to automation, we may be in the elbow of an exponential curve.
The job market was already being "hollowed out." High-wage, high-skill employment is still being created—and so are many poorly compensated service industry jobs for food preparers, home care aides, and others. It's the jobs in the middle that are disappearing: certain clerical, sales, and administrative jobs and some on factory floors.
Now a combination of growing computing power and advances in data crunching mean automation is primed to threaten not just tax preparers and travel agents but higher-rung jobs such as those in the medical and legal professions, where software can increasingly do things like analyze images and understand speech more accurately and in more contexts than ever before. Any work that is repetitive or fairly well structured is open to full or partial automation. Being human confers less and less of an advantage these days.
Robots made by Kiva Systems move product shelves on a warehouse floor. Amazon bought the company earlier this year in a step toward automating its distribution system and reducing labor costs. Kiva Systems
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Nature - A 'finger' of the Universe's dark-matter skeleton, which ultimately dictates where galaxies form, has been observed for the first time. Researchers have directly detected a slim bridge of dark matter joining two clusters of galaxies, using a technique that could eventually help astrophysicists to understand the structure of the Universe and identify what makes up the mysterious invisible substance known as dark matter.
The presence of dark matter is usually inferred by the way its strong gravity bends light travelling from distant galaxies that lie behind it — distorting their apparent shapes as seen by telescopes on Earth. But it is difficult to observe this 'gravitational lensing' by dark matter in filaments because they contain relatively little mass.
Dietrich and his colleagues got around this problem by studying a particularly massive filament, 18 megaparsecs (58.7 million light years) long, that bridges the galaxy clusters Abell 222 and Abell 223. Luckily, this dark bridge is oriented so that most of its mass lies along the line of sight to Earth, enhancing the lensing effect, explains Dietrich. The team examined the distortion of more than 40,000 background galaxies, and calculated that the mass in the filament is between 6.5 × 10^13 and 9.8 × 10^13 times the mass of the Sun.
Dark-matter filaments, such as the one bridging the galaxy clusters Abell 222 and Abell 223, are predicted to contain more than half of all matter in the Universe. Jörg Dietrich, University of Michigan/University Observatory Munich
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