Showing posts with label Machine Learning. Show all posts
Showing posts with label Machine Learning. Show all posts

Wednesday, May 29, 2013

Using sym for notifications and predictions

As a follow-up on the sym workflow posted earlier,  here are some uses for sym.

Notification applications

The following will apply to any kind of notify-on-change kind of apps:
  1. Create sym check the price of gold continuously called say, goldpx
    1. Link goldpx to diffcheck
    2. Get sms notifications whenever the price of gold changes

Prediction applications

This is quite rough but does seem doable.
  1. Create a sym that's a neural network called say, nn
    • Set nn mode to train
    • Link goldpx to nn for a day or so. 
    • Set nn mode to predict 
    • Link nn to diffcheck
    • Get sms notifications whenever the neural network a change in the price of gold

Monday, May 27, 2013

On Grok, Jeff Hawkin's machine intelligence


Recent Videos

Building brains to understand the world's data - Published Mar 10, 2013

Implementations

Open source implementation of Grok here*, - Neocortex_1.4.2c.zip last modified on Dec 14, 2008
  • See also the blog by Neocortex creator, zotric.

Books

There's an online version of the book "On Intelligence".



[*] Thanks to a tip by a fellow Courserian.

Saturday, May 25, 2013

Designs that lasts are based on scientific/mathematical principles

Designs That Lasts

An utterly fascinating Google TechTalk entitled, Building brains that understand the world's data, proposes machine intelligence on the basis of neuroscience principles.

Another example would be relational database systems. These are built on top of Relational Algebra principles.

Here a rough outline of how to apply this idea:
  1. Study what a system that works exceptionally well
  2. Extract the principles/theory underlying how the system works
  3. Apply those principles/theory to the system you are building
Would be really interesting to get a listing of all the systems--underlying principles currently in use.

Or perhaps, as a start, identify all the systems are are working exceptionally well, e.g. the brain, ecosystem, innovative companies; then extract the principles.

And a reverse way to apply this idea is to start with the principles and work out what we can build using those principles.

Related Talks

A related talk on how the brain works is, Think Faster, Focus Better and Remember More - Rewiring Our Brain To Stay Younger