In case you missed this over the weekend, apparently in Silicon Valley the next big boom is occurring, at least according to the LA Times.
For those keeping their eye on the market for that special time to start-up, this may be good news. Still too early to know for sure.
Wednesday, July 20, 2011
Friday, July 15, 2011
Intuition
There was an interesting question posed on the Linked In AGI group discussion board:
Has anyone put out a suggestion on how to impliment an "Intuition" engine?
Responses were also quite interesting...
Has anyone successfully built an intuition engine? The responses ranged from a weak description of how one might do this to long detailed descriptions of current research that has been ongoing for many years.
If this sounds interesting you may want to join the Linked In group AGI — Artificial General Intelligence.
Or go to the AGI Conference in August .
Has anyone put out a suggestion on how to impliment an "Intuition" engine?
Responses were also quite interesting...
Has anyone successfully built an intuition engine? The responses ranged from a weak description of how one might do this to long detailed descriptions of current research that has been ongoing for many years.
If this sounds interesting you may want to join the Linked In group AGI — Artificial General Intelligence.
Or go to the AGI Conference in August .
Linked Data Paper Summary
"Linked Data - The Story So Far", C. Bizer, T. Heath, T. Berners-Lee, 2009, http://eprints.ecs.soton.ac.uk/21285/1/bizer-heath-berners-lee-ijswis-linked-data.pdf
My work will support working with linked data so I am attempting to build a better understanding of this topic.
This paper is good for providing a very basic understanding of linked data. If you are new to the concept of linked data, this is a good starting paper to read. It provides basic principles, examples, and isn't too technical.
If you already have a good understanding of the basics, skip this paper. I read it in about 10 minutes and it was pretty much just a review of what I already knew.
My work will support working with linked data so I am attempting to build a better understanding of this topic.
This paper is good for providing a very basic understanding of linked data. If you are new to the concept of linked data, this is a good starting paper to read. It provides basic principles, examples, and isn't too technical.
If you already have a good understanding of the basics, skip this paper. I read it in about 10 minutes and it was pretty much just a review of what I already knew.
Hadoop Meet-up - Large Scale Graph Processing On HBase and Map/Reduce on Greenplum
I attended the Hadoop Meet-up on Tuesday titled "Large Scale Graph Processing On HBase and Map/Reduce on Greenplum". You can view the event here.
I attended this event for two reasons: It has been a couple of years since I worked intimately with Hadoop and I wanted to see how others are using it. I was also hoping the discussion on Large Scale Graph Processing would be useful for my research.
Though the presentations were somewhat stimulating, I didn't find much I could use for my work.
I attended this event for two reasons: It has been a couple of years since I worked intimately with Hadoop and I wanted to see how others are using it. I was also hoping the discussion on Large Scale Graph Processing would be useful for my research.
Though the presentations were somewhat stimulating, I didn't find much I could use for my work.
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