Modeling Surprise
Combining massive quantities of data, insights into human psychology, and machine learning can help manage surprising events, says Eric Horvitz.

Probabilistic Chips
Krishna Palem thinks a little uncertainty in chips could extend battery life in mobile devices–and maybe the duration of Moore’s Law, too.

NanoRadio
Alex Zettl’s tiny radios, built from nanotubes, could improve everything from cell phones to medical diagnostics.

Wireless Power
Physicist Marin Soljacic is working toward a world of wireless electricity.

Atomic Magnetometers
John Kitching’s tiny magnetic-field sensors will take MRI where it’s never gone before.

Offline Web Applications
Offline Web Applications
Adobe’s Kevin Lynch believes that computing applications will become more powerful when they take advantage of the browser and the desktop.

Graphene Transistors
A new form of carbon being pioneered by Walter de Heer of Georgia Tech could lead to speedy, compact computer processors.

Connectomics
Jeff Lichtman hopes to elucidate brain development and disease with new technologies that illuminate the web of neural circuits.

Reality Mining
Sandy Pentland is using data gathered by cell phones to learn about human behavior.

Cellulolytic Enzymes
Frances Arnold is designing better enzymes for making biofuels from cellulose.

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