Skip to Content
Uncategorized

Seven Must-Read Stories (Week Ending June 14, 2013)

Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.
June 14, 2013
  1. How Technology Is Destroying Jobs
    Automation is eliminating the need for people in many jobs. We’ve survived such changes before, but this time it might be different: are we facing a future of stagnant income and worsening inequality?
  2. The Strangeness of Facebook Home
    Facebook’s new interface for smartphones is at odds with how the world uses computers.
  3. U.S. Supreme Court Says “Natural” Human Genes May Not Be Patented
    A decision should reduce uncertainty in the field of molecular diagnostics.
  4. Bitcoin Millionaires Become Investing Angels
    Early investors in Bitcoin got rich. Now they are the cryptocurrency’s most powerful gatekeepers.
  5. Companies Complying with NSA’s PRISM May Face E.U. Lawsuits
    U.S. companies that pass data from European Union citizens to the NSA’s PRISM surveillance program could be breaching the E.U.’s data-protection laws.
  6. China Reveals First Space-Based Quantum Communications Experiment
    The “Chinese Quantum Science Satellite” will launch in 2016.
  7. The Avatar Will See You Now
    Medical centers are testing new, friendly ways to reduce the need for office visits by extending their reach into patients’ homes.
  8. <

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.