MIT thinks they will: MIT's Technology Review has published this year's "10 Emerging Technologies" -- technologies the editors think are most likely to change the way you live. Included in the list (along with lovely PDF versions of the rationale behind each):
- Modeling Surprise -- how combining massive quantities of data, insights into human psychology, and machine learning can help humans manage surprising events.
- Probabilistic Chips -- how introducing uncertainty into computer chips could extend battery life in mobile devices and maybe the duration of Moore's Law.
- NanoRadio -- how tiny nanotube radios could improve everything from cell phones to medical diagnostics.
- Wireless Power -- how to work toward a world of wireless electricity.
- Atomic Magnetometers -- how tiny magnetic-field sensors will take MRI where it's never gone before.
- Offline Web Applications -- how computing applications will become more powerful by taking advantage of both the browser and the desktop.
- Graphene Transistors -- how a new form of carbon could lead to speedy, compact computer processors.
- Connectomics -- how brain development and disease knowledge can be illuminated with new technologies that uncover the tangled web of neural circuits.
- Reality Mining -- how data gathered by cell phones teaches us more about human behavior and social interactions.
- Cellulolytic Enzymes -- how new design techniques are giving us better enzymes for making biofuels from cellulose.
Parallel pathways to better parallel processing software?: UC-Berkeley CS professor David A. Patterson thinks the electronics industry isn't investing enough (time, energy, cash) to provide a needed breakthrough in parallel computing -- the "power wall," software processing abilities to keep up with new multicore hardware designs.