|1930 - meetup 1900 Ron Minnich: The coreboot project|
|1930 Petr Tomek: Perspektivní pohony mezihvězdných lodí|
|1900 BRMCW - vyuka telegrafie|
Our very own IBM Watson - approximated using open source technology, replicated in the brmlab hackerspace environment.
The first goal is to build a system that can chew on few open semantic databases, Wikipedia and Sbrm and then be able to answer general questions like “List the biggest nuclear explosions in Russia” or “When do I pay brmlab membership fees?” or “What was the best time travel movie?”. The primary language in this phase will be English.
Then, we can take things further - start supporting more advanced inference (|What resistance do I need in series with a random red LED on 5V?”), add some autonomous goal-based processing etc. Only the Strong AI is the limit!
The current primary focus is on working software stack (regardless of speed), then we can think of how to speed this up using cluster technologies.
We aim to do as little coding as possible, at least initially, instead focusing on integration of existing technologies. Most impressive initial results in the shortest time!
(Story on Pasky's blog: http://log.or.cz/?p=317)
A custom-made question-answering engine ”BlanQA” by Pasky is set up at brmson.dyn.brm (virtual machine on sargon). It is connected to IRC as brmson@freenode, hanging out at #brmson.
All our code lives in the github brmson organization.
Pieces of the puzzle:
Old and/or obsolete pieces of the puzzle:
In bold are our current choices that we are running with.
All sources listed here must be freely available.
In our architecture, we can probably try / mix multiple unstructured data architectures.
In the long run, question answering may not be the only capability of the system, but it is an excellent starting point and benchmark.
Off-the shelf solutions:
Custom (Watson-inspired) solution structure:
Notes about clustering: