Skip to Content
Uncategorized

Seven Must-Read Stories (Week Ending May 31, 2013)

Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.
  1. All Data Packets Are Equal—Some More than Others
    New pricing schemes, content deals, and technologies are challenging net neutrality.
  2. Next-Generation Consumer 3-D Printer Arrives, but a Lawsuit Looms
    Formlabs is bringing down the costs of a better 3-D printing technique, but it must survive a patent lawsuit.
  3. The Machine-Readable Workforce
    Companies are analyzing more data to guide how they hire, recruit, and promote their employees.
  4. Trained on Jeopardy, Watson Is Headed for Your Pocket
    The software that obliterated human champions on Jeopardy will now be talking to customers of banks and other companies through websites and mobile apps.
  5. Wanted for the Internet of Things: Ant-Sized Computers
    A computer two millimeters square is the start of an effort to make chips that can put computer power just about anywhere for the vaunted “Internet of Things.”
  6. A Tiny Cell-Phone Transmitter Takes Root in Rural Africa
    Rural areas could benefit greatly from a rugged outdoor base station.
  7. The Latest Artificial Heart: Part Cow, Part Machine
    A French company is preparing to test a complex artificial heart that combines biology with machinery.
  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.

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.

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.

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.