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here's a fascinating TED talk from craig venter. (if you haven't heard of him, he was instrumental in the human genome project.) http://www.ted.com/index.php/talks/view/id/6
the part that was new to me was the idea of synthetic bio solving our energy problems.
Machine translation of language. In 10-15 years time, given improvement and dissemination of the technology, we might massively open up the world's communication. This could be significant as we massively increase the marketplace of ideas and communication.
In 5-10 years, I'd say personal fabrication. In 10-15 years, I'd say perhaps Human Genome
I think he meant last 5 - 10 years?
I'm biased: functional MRI We're just now scratching the surface as to how humans derive their intellect from 3.5 pounds of squishy grey stuff. Some questions we'll never have licked, but the future looks good.
I totally agree, even more so considering recent advances in real-time fMRI ( http://paincenter.stanford.edu/research/rtfmristudy.html ), I also nominate EROS ( http://www.answers.com/topic/event-related-optical-signal ) as a revolution in the making. I think it will deliver some huge discoveries in the activity of the human cortex.
As for EROS (from your link): "Its biggest downside is the inability to detect activity more than a few centimeters deep, but it is a new, relatively inexpensive technique that is not invasive to the test subject."
That's a big problem it will need to overcome to compete.
Earlier quoted context omitted.
I totally agree, even more so considering recent advances in real-time fMRI ( http://paincenter.stanford.edu/research/rtfmristudy.html ), I also nominate EROS ( http://www.answers.com/topic/event-related-optical-signal ) as a revolution in the making. I think it will deliver some huge discoveries in the activity of the human cortex.
Real-time fMRI isn't that different - you just analyze the data on-line rather than after the scan. The most promise for me is millimeter and millisecond resolution with new scanning and analytic techniques. And that keeps getting better and better. As for EROS (from your link): "Its biggest downside is the inability to detect activity more than a few centimeters deep, but it is a new, relatively inexpensive techniqu…
Also, I don't view the depth restriction of EROS as a very big problem. There are enough mysteries lurking in the top 3 centimeters of your brain to keep academia busy for a hundred years.
Earlier quoted context omitted.
Real-time fMRI isn't that different - you just analyze the data on-line rather than after the scan. The most promise for me is millimeter and millisecond resolution with new scanning and analytic techniques. And that keeps getting better and better. As for EROS (from your link): "Its biggest downside is the inability to detect activity more than a few centimeters deep, but it is a new, relatively inexpensive techniqu…
While RT-fMRI is an incremental technological advance (it's just faster data collection with some spiffy signal processing) it hugely broadens the scope of fMRI's usability. The hemodynamic delays of traditional fMRI are atrocious. For the first time fMRI is giving us access to when brain activity happens, which is nearly as importnat as knowing where . If you look at the biofeedback work being done with RT-fMRI you'…
As for below the first few centimeters, that's where the control network is in mid-brain structures. That's kind of important, and if EROS can't penetrate deeper and with precision it's not likely to be widely adopted.
Support vector machines and other practical realizations of statistical learning theory research that began in the 1970s.
Why single out support vector machines? Sure, the kernel trick is neat but there's really nothing about them that stands out above other classification methods. It would make more sense just to say "the field of machine learning".
The interest in kernel methods is proof that there's nothing more practical than a good theory. :)
1) Measuring the age of the universe to a few percent ~14 billion years. 2) Determining the dark energy (70%) / dark matter (25%) / regular matter (5%) breakdown of the universe to a few percent. 3) The Sloan Digital Sky Survey, Hubble Space Telescope and Wilkinson Probe I'm purposely being biased :)
Translation: We've figured out in even more detail how we have no idea wtf is going on in the universe