2019/11/17 Tiger Index and Security-JAWS CTF Hands on #01 LT
[ How I Learned to Consulting Service of F-Secure and Love the index from "A Certain Magical Index" ]
2019/11/17 Tiger Index and Security-JAWS CTF Hands on #01 LT
[ How I Learned to Consulting Service of F-Secure and Love the index from "A Certain Magical Index" ]
Prepared for the 8th Information Security Technology Trend Research Task Group Meeting, December 22, 2011
http://www.ipa.go.jp/security/outline/committee/isec_tech1.html
Let us remember the key steps to make a tarpapel:
1. Create a new Microsoft Publisher document of size 20 inches by 16 inches
2. Insert an image or text and resize it
3. Set the printer preference as the final step
4. Print the tarpapel and enjoy using it for teaching
Prepared for the 8th Information Security Technology Trend Research Task Group Meeting, December 22, 2011
http://www.ipa.go.jp/security/outline/committee/isec_tech1.html
Let us remember the key steps to make a tarpapel:
1. Create a new Microsoft Publisher document of size 20 inches by 16 inches
2. Insert an image or text and resize it
3. Set the printer preference as the final step
4. Print the tarpapel and enjoy using it for teaching
This document discusses research objectives. It defines research objectives as clear, measurable statements that provide direction for a study. Objectives focus the investigation of variables and relationships between variables. Well-written objectives are specific, measurable, attainable, relevant and time-bound. Formulating objectives helps organize a study and focus data collection and analysis. A study may have general objectives as broad goals and specific objectives that systematically address aspects of the problem. Examples show how to write general and specific objectives for a study on nurses' knowledge of physical restraint techniques.
米国を中心とした 人工知能(AI)の事業トレンドを紹介する．“AI”というと私がリードしたドコモの 「しゃべって コンシェル」やApple Siri ，Amazon Echo, Microsoft Cortanaなどの擬人化エージェント，あるいはロボットを想起することが多いが，米国ではより一般的にAIは農業や交通，流通など各産業における自動化，効率化技術のマーケティング用語として用いられる場合が多い．実質はデータに基づく機械学習を用いた最適化である．基盤となる実装アルゴリズムの多くは急速にコモンディティ化して行く．画像解析，パーソナル化，音声対話，マーケティングオートメーションの多くは商用化段階にありレッドオーシャン化が進みつつある．農業，教育，医療，法律，福祉，防災などこれまでIT化が進んでいなかった領域での動きを含めてAIの事業化動向を解説する．
