The Synaptic Web ‘upgrad[es] the web to a machine learning stage’

January 7th, 2010
Fantastic image, published at Wired.com, of connected neurons in the cereberal cortex that are involved in 'higher-thought processes and perception of different senses'. Image: Tamily A. Weissman

Fantastic image, published at Wired.com, of connected neurons in the cereberal cortex that are involved in higher-thought processes and perception of different senses. Image: Tamily A. Weissman

A few days ago I asked @preona, in a short post on my Three Tweets blog, if he could explain to his readers why he thinks the synaptic web paradigm is so focused on the user.

@preona replied with a post: ‘Why we think Synaptic Web will focus on the user.

I would shortly summarize @preona’s answer as follows:

The Synaptic Web ‘upgrad[es] the web to a machine learning stage’ helping users to ‘get the important information for them first, without having to distinguish and apply their own patterns daily as we do currently.’

Here, our own daily patterns are our modern daily information processing routines of searching, digesting, augmenting and forwarding information.

In my understanding these daily processing patterns are slowly encoded into the web through the connections you make with (specific) other users and the strengths of these connections, effectively creating the Synaptic Web. This encoding could be harvested and used to find relevant information for users automatically.

Thanks for your efforts to answer my question @preona!

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  • In the future we won't search for products; they'll simply find us. For example: I might mention on a friends facebook wall that I need a new set of golf clubs. The synaptic web will recognize this and begin to show me relevant ads for golf clubs. This example is only a small fraction of what the synaptic web's capabilities will be; can you think of others?
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