Every year, MIT Technology
Review picks the ten
technologies most likely to change the world. Here is their list for 2013:
How does MIT choose the 10 technologies? They want them to reflect
the full range of interests, which uniquely amongst technology media companies
encompass every domain: information technology, communications, energy,
biomedicine, materials, and so on. But, even more, they are interested in how
technologies can solve really hard problems. They look first for difficulty:
they select problems whose intractability is a source of frustration, grief, or
comedy and whose solution will expand human possibilities. The breakthroughs
are variously mature. Although they insist that every technology possess some
plausible path to widespread use, some are still in the lab, some are in
commercial development, and others are being sold by companies.
This list of 10 breakthrough technologies is, however, entirely
subjective. There is no nomination process, nor panels of distinguished judges.
The 10 technologies are an expression of our preferences and emphases, and they
grow out of our reporting over the previous year.
As in all cases let us look back
on what they predicted in the past: In 2001, they predicted for example:
A recent discovery could increase older women's chances of having
babies.
Under the right circumstances, solar cells from Semprius could
produce power more cheaply than fossil fuels.
Lytro reinvented the camera so that it can evolve faster.
Village-scale DC grids provide power for lighting and cell phones.
Intel creates faster and more energy-efficient processors.
A mathematical upgrade promises a speedier digital world.
Simple and direct analysis of DNA will make genetic testing
routine in more situations.
Kickstarter is funding the commercialization of new technologies.
A new way to identify battery materials suitable for mass
production could revolutionize energy storage.
The social-networking company is collecting and analyzing consumer
data on an unprecedented scale.
And just five years ago, 2008,the
prediction ere for:
Year:
Combining massive quantities of data, insights into human
psychology, and machine learning can help manage surprising events, says Eric
Horvitz.
Krishna Palem thinks a little uncertainty in chips could extend
battery life in mobile devices--and maybe the duration of Moore's Law, too.
Alex Zettl's tiny radios, built from nanotubes, could improve
everything from cell phones to medical diagnostics.
Physicist Marin Soljacic is working toward a world of wireless
electricity.
John Kitching's tiny magnetic-field sensors will take MRI where
it's never gone before.
Adobe's Kevin Lynch believes that computing applications will
become more powerful when they take advantage of the browser and the desktop.
A new form of carbon being pioneered by Walter de Heer of Georgia
Tech could lead to speedy, compact computer processors.
Jeff Lichtman hopes to elucidate brain development and disease
with new technologies that illuminate the web of neural circuits.
Sandy Pentland is using data gathered by cell phones to learn
about human behavior.
Frances Arnold is designing better enzymes for making biofuels
from cellulose.
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