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StrongSteam AI at HackerNews London October 2011

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HackerNewsLondon October 2011 talk on http://StrongSteam.com by Ian Ozsvald. This is a preview of our alpha service (created via MorConsulting.com).

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StrongSteam AI at HackerNews London October 2011

  1. 1. StrongSteam – The AppStore for AI and Data Mining Tools HackerNewsLondon Oct 2011
  2. 2. Who we are <ul><li>Ian Ozsvald & Kyran Dale </li></ul><ul><li>AI in industry, AI in academia </li></ul><ul><li>MorConsulting.com </li></ul><ul><li>Robots and SocialTies too </li></ul>
  3. 3. Much data, little meaning <ul><li>Wikipedia, YouTube, Flickr, Tweets </li></ul><ul><li>How do we transform raw data into content? </li></ul><ul><li>Building the semantic web (not markup!) </li></ul><ul><li>Do we lack CPUs? GPUs? Storage? </li></ul><ul><li>What's the barrier to entry? </li></ul><ul><li>“ The Industrial Revolution” </li></ul>
  4. 4. Scratching our own itch <ul><li>RESTful API </li></ul><ul><li>Optical character recognition </li></ul><ul><li>Image recognition </li></ul><ul><li>Speech recognition </li></ul><ul><li>License plate recognition </li></ul><ul><li>Arduino, SL4A </li></ul><ul><li>Make hacking easy & fun </li></ul>
  5. 5. Example - OCR -> Wikipedia
  6. 6. Python/JSON <ul><li>cli = ss.StrongSteam(...) </li></ul><ul><li>wakehurst_set = cli.add_set( </li></ul><ul><li>‘ ./images’ , ‘wakehurst labels’ ) </li></ul><ul><li>wakehurst_ocr_jobs = cli.add_jobs(wakehurst_set, ‘ocr’ ) </li></ul><ul><li>... </li></ul><ul><li>job_results = cli.get_results(wakehurst_ocr_jobs) </li></ul><ul><li># calc distances, link to Wikipedia </li></ul><ul><li># all JSON, language agnostic </li></ul>
  7. 7. Find rectangles
  8. 8. Face detection
  9. 9. Closing <ul><li>Sign up to our alpha </li></ul><ul><li>Tell us what you want </li></ul><ul><li>Hack day/workshop? </li></ul><ul><li>Startup Chile – off in January </li></ul><ul><li>Your algorithms – partner? </li></ul>
  10. 11. Thanks <ul><li>Mamod steam engine to demo </li></ul><ul><li>Props to Richard “strong steam” Trevithick (1771-1833) </li></ul><ul><li>Props to @lee_tucknott for look/feel </li></ul>

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