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| - | The first WBA hackathon was held in September 2015 organized by the Future Leaders of WBA and WBAI. | + | The first WBA hackathon was held in September 2015, organized by [[http://wbawakate.jp/|the Future Leaders of WBA]] and WBAI. |
| * Date: 2015-09-19...23 | * Date: 2015-09-19...23 | ||
| * Venue: Hiyoshi Campus, Keio University (Yokohama, Japan) | * Venue: Hiyoshi Campus, Keio University (Yokohama, Japan) | ||
| - | * Participants: five teams (23 hackers) and 12 mentors | + | * Participants: seven teams (23 hackers) and 12 mentors |
| - | * Purpose: Accumulating know-how and skills on using multiple machine learning modules | + | * Purpose: developing know-how and skills on using multiple machine learning modules |
| - | * Result: to be announced (on GitHub) | + | * Result: visit [[https://github.com/wbap/Hackathon2015|the GitHub site]] ([[http://wbawakate.jp/posts/events/第1回wbaiハッカソン活動報告/|report in Japanese]]) |
| - | * Financial aids: transportation fees, lodging fees | + | * Financial aids: domestic transportation & lodging |
| - | * Prizes | + | * Prizes: |
| * 1st: BICA2015 participation incl. transportation & lodging | * 1st: BICA2015 participation incl. transportation & lodging | ||
| - | * Other prizes: from sponsoring companies | + | * other prizes donated by sponsoring companies |
| ---- | ---- | ||
| **The Ideathon**\\ | **The Ideathon**\\ | ||
| An ideathon was held in June to develop ideas on tasks for the hackathon.\\ | An ideathon was held in June to develop ideas on tasks for the hackathon.\\ | ||
| - | * Ideas wanted: ideas to combine machine learning modules referring to the brain to attain advanced functionality | + | The hackathon teams were selected based on their ideathon proposals. |
| + | * Ideas wanted: to combine machine learning modules referring to the brain to attain advanced functionality | ||
| + | * Contents to be proposed | ||
| + | * Functionality to be realized | ||
| + | * The way to realize the functionality | ||
| + | * Combination of machine learning modules | ||
| + | * Relevance to brain architecture | ||
| + | * Required resources (human & machine) | ||
| + | * Criteria for adopting | ||
| + | * Importance of the functionality | ||
| + | * Feasibility in the hackathon | ||
| + | * Originality/Room for further development | ||
| + | * Biological reality | ||
| + | * Sample ideas | ||
| + | * Video game play combining deep learning (visual cortex) and reinforcement learning (basal ganglia) (as in Deep-Q Network) | ||
| + | * Caption generation combining deep learning (visual cortex) and RNN (prefrontal/language cortex) (as in NeuralTalk @ Stanford U.) | ||