3
Mar/10
0

Intel Atom™ Developer Program Million Dollar Development Fund

Million doLlar
The netbook has become one of the most popular consumer devices in the market today, but its true potential has been limited by applications that are not optimized for its mobility and smaller screen size.

The Intel Atom Developer Program Million Dollar Development Fund is a fund set up by Intel to address this challenge and to help accelerate innovation in software applications for Intel? Atom™ processor-based products, starting with netbooks, and eventually supporting smartphones, consumer electronics and more devices.

The fund will be available to individual and student developers as well as small, medium and large software companies to support development of groundbreaking applications for the netbook platform. The first three elements of the development fund Fast Track 2010, Dollars for Downloads 2010 and the Intel Atom Developer Challenge are available now with more to be announced over the coming months.

9
Feb/10
0

Eric Giler demos wireless electricity



WiTricity Technology: WiTricity power sources and capture devices are specially designed magnetic resonators that efficiently transfer power over large distances via the magnetic near-field. These proprietary source and device designs and the electronic systems that control them support efficient energy transfer over distances that are many times the size of the sources/devices themselves.

This diagram shows how the magnetic field can wrap around a  conductive obstacle.

The WiTricity power source, left, is connected to AC power. The blue lines represent the magnetic near field induced by the power source. The yellow lines represent the flow of energy from the source to the WiTicity capture coil, which is shown powering a light bulb. Note that this diagram also shows how the magnetic field (blue lines) can wrap around a conductive obstacle between the power source and the capture device.

Filed under: Power Line
7
Feb/10
0

Online Lecture : Recognizing and Learning Object Categories

ICCV 2009 Recognizing and Learning Object Categories: Year 2009

  • Introduction (.pptx, .pdf)
  • Part 1: Single object classes
    • Bag of words models, Part-based models, and Discriminative models (.pptx)
    • Detecting single objects in context (.pptx)
    • 3D object models (.pptx)
  • Part 2: Multiple object categories
    • Recognizing a large number of object classes (.pptx)
    • Recognizing multiple objects in an image. Sharing and context (.pptx)
    • Objects and annotations (.pptx)
  • Part 4: Summary and datasets (.pptx)

for more info please visit http://people.csail.mit.edu/torralba/shortCourseRLOC/index.html

4
Feb/10
0

RAMdESC – Real-time automatic object recognition

The goal of the projects is to develop new algorithms for medical image analysis and visualization of medical imagery, as well as to build vision based systems for surgical navigation and surgical planning.

The project team page is will be avaible online 22 March on Zamansiz.org

Filed under: Projects
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