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university-of-tokyoとartificial-neural-networkに関するnabinnoのブックマーク (3)
-
nabinno 2015/02/19
- university-of-tokyo
- kazuma-hashimoto
- people
- machine-learning
- artificial-neural-network
リンク -
CRESTシンポジウム：機械知能とビッグデータ
CRESTシンポジウム：機械知能とビッグデータ 2015年3月6日（金）13:00～17:30 （18:00～19:30 懇談会） 東京大学 本郷キャンパス 工学部2号館221講義室 トップページ お知らせ 2015年2月08日 ホームページを開設しました． 概要 膨大な画像，映像，テキスト，加速度，位置情報などの多種多様なデータをコンピュータが自動的に理解する知的システムが近年脚光を浴びつつあります．本シンポジウムではこのような膨大かつ多種多様なデータを理解する知能システム構築のための基礎理論から応用までの近年のトレンドや成果を紹介いたします．具体的には，平成26年度から開始いたしましたJST CREST「膨大なマルチメディアデータの理解・要約・検索基盤の構築」における研究内容の紹介や，Googleから2名の研究者をお招きし，Deep Learningとロボットの融合，機械翻訳の
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「表現を獲得」した人工知能――50年来のブレークスルーで、いま人工知能は急速な進化を始めた（前編） | Mugendai（無限大）
人工知能が急速に進化し始めた。カーネギーメロン大学のTome Michell教授は、「コンピューターはこれまで人間の言語をほとんど理解できなかったが、今後10年でかなり理解できるようになるだろう」と、人工知能が急速な進化のフェーズに入ったことを示唆している。 急速に進化し始めた理由は2つある。1つは、コンピューターが大量のデータを扱えるようになったから。もう1つは、人間の脳を模した仕組みが実際に機能するようになってきたからだ。 変化はまた、チャンスでもある。 人工知能の進化は今、どこまで進んでいるのだろうか。それがどのような領域に、イノベーションを起こすのだろうか。日本を代表する新進気鋭の人工知能研究者、東京大学准教授の松尾豊氏に聞いた。 人工知能が急速に進化し始めた。カーネギーメロン大学のTome Michell教授は、「コンピューターはこれまで人間の言語をほとんど理解できなかったが、今
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