人工知能の研究開発方法について20160927
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事務作業に使えるAIをテスト開発した際のAIについての説明
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人工知能の研究開発方法について20160927
- 1. Copyright© growniche.Inc All Rights Reserved. 株式会社グロウニッチ WEB MARKETING / WEB DESIGN Date:2016/10/13 人工知能の研究開発方法について 株式会社グロウニッチ 代表取締役 宮本 和明
- 2. Date:2016/10/13 Copyright© growniche.Inc All Rights Reserved. 1.求める機能の違い 今までのシステム 人工知能 人間のように考えて作業する 人間の代わりに作業する
- 3. Date:2016/10/13 Copyright© growniche.Inc All Rights Reserved. 2.機能させる為の考え方の違い 今までのシステム 人間が考えたルールを設定する 【検索エンジンでの設定事例】 「表示順位は関連単語の多さを基準」 「○○と●、▲は類義語とする」 といったルールを設定。 人工知能 人間が判断した事例を学習させる 【検索エンジンでの設定事例】 「○○の検索時に●を70％の人が選択」 「▲の検索時に●を80％の人が選択」 ・・・と、人の判断を学習データとして与える
- 4. Date:2016/10/13 Copyright© growniche.Inc All Rights Reserved. 3.それぞれのメリット、デメリット 今までのシステム 最低限の設定から機能する。 柔軟性が無い。 【例】 ルールにない検索は0件表示 長所 短所 人工知能 ・膨大な学習データと学習時間が必要 ・人間が結果をコントロールできない 【例】MS社のAI「Tay」 柔軟性がある。 【例】 学習なしの検索も何かを表示 短所 長所