“Plunging prices set to trigger tech boom” - reports Richard Waters at CES in Las Vegas.

What does this mean for Walmart or where you work?

Taking a page from an excellent masters thesis on decentralizing decision making in modern military organizations, allowing organizations to deal with fast paced change, such as we are faced in high tech.

Combat troops are increasingly monitored by sensors, similarly Facebook or Walmart collect more data to determine “Likes” better making forecasts based on intention analysis.

Increasingly Likes or data is stitched together in Graph Databases designed for mining relationships in fragmented information chains. Afghanistan,  Walmart or your living room. Respectively: Ambushed in Hemland, Like on Facebook, muting Ads on TV.

Richard Waters ends the CES 2012 report with a quote “Business model innovation as important as technological innovation this year”

I couldn’t agree more, we need to start with a learning organization as diagrammed by  Boon Kim Tans thesis.

(Source: dspace.mit.edu)

BCI - Brain Computer Interface MIT/VLab event May 18 (tue) 6p @Stanford

Rethinking AI the MIT Way

Levenshtein distance

In computer science, the Levenshtein distance is a metric for measuring the amount of difference between two sequences (the edit distance).

Often used in spell checkers.

The edit distance between “kitten” and “sitting” is 3, since the following three edits change one into the other, and there is no way to do it with fewer than three edits:

1. kitten → sitten (substitution of ‘s’ for ‘k’)
2. sitten → sittin (substitution of ‘i’ for ‘e’)
3. sittin → sitting (insert ‘g’ at the end).

It can be considered a generalization of the Hamming distance 

Thanks for pointer Michael Wakim, Fidus / MIT