Friday, May 31, 2013

Start-ups: GraphLab,, InView, Centice, Aqueti

Nuit Blanche being at the crossroad of different subject areas;(compressive sensing, machine learning, graph computations) that all aim at taming and making sense of the tsunami of data that is slowly but surely overpowering us, it is no wonder that some of the people that are familiar with the themes of  Nuit Blanche are also some of the ones deciding to take their ideas and concepts into the real world aka into start-ups. Here are some:

If you want to know more about GraphLab, you really want to attend the workshop coming up on July 1st. They just recently released their list of speakers (i,e it is not a preliminary agenda anymore). Danny Bickson has a blog.

If you recall Dan Starr was one of the organizers of the widely successful Berkeley meeting "From Data to Knowledge: Machine-Learning with Real-time and Streaming Applications"

on the hardware side of things: 

Inview Corp
Inview focuses, in part, on developing some of the Intellectual Property from Rice on the Single Pixel Camera for SWIR type of applications and more. Here is their recent press release I featured on the blog.
Bob Bridge and Kevin Kelly are part of the management team while Rich Baraniuk is director at the board of Directors

From Centice’s Technology's page:

What is coded aperture spectroscopy?
Spectroscopy has been around for years and historically scientists used this technology to understand the chemical structure of materials.  Coded apertures are grids, gratings or other patterns of materials opaque to various wavelengths of light.  Coded apertures are used in x-rays because their high energies pass through normal lenses and mirrors.  So by combining the two scientific measurement techniques, one is able to view the chemical structure of materials, such as narcotics, through lenses.
David Brady is part of the executive team.

From the technology page:
​Aqueti builds Aware gigapixel cameras using MC2 microcameras, gigagon lenses and zoomcast technology.

Aqueti is dedicated to information efficiency. The world is awash in visible information, almost all of which is undetected. Many things that we would like to see remain unseen because eyes and cameras cannot look everywhere at once. Simple mysteries, such as how the beating of a butterfly wing affects the environment or where each needle lands when a tree falls in the forest, could be resolved if we knew where and when to look. Exciting stories, such as how every player on the field and every fan in the stands responds to a well hit baseball, could be told if only we could capture all the information in the light around us. With Aqueti cameras there is no need to know where to “point and shoot.” We capture everything that a camera could see looking everywhere with revolutionary efficiency.
Parallel processing, which has been the lynchpin of supercomputing for the past quarter century, is Aqueti’s key innovation. Just as supercomputers are built from arrays of microprocessors, Aqueti builds supercameras from arrays of microcameras. If we had 1000 people, our cameras and eyes could look everywhere at once. This is the power of parallel processing. Unfortunately, 1000 cameras would cost a lot and take a lot of space. Aqueti’s multiscale camera technology implements parallel processing on the microscale to build cameras that capture the field of view of 1000 conventional cameras with a cost and volume comparable to a single system.
David Brady is part of the executive team.

As one can see, the five start ups are looking at different facets of themes we discuss here between actual hardware sensing ( Inview, Centice, Aqueti) all the way to machine learning ( and graph computations (GraphLab). If you have a start-up with a theme covered here and you are a reader of the blog, please let me know I'll add you to the list.

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