Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
イメージで理解する人工知能 〜入門編〜 / understanding AI from scr...
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Sho Okiyama
August 18, 2017
Technology
12k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
イメージで理解する人工知能 〜入門編〜 / understanding AI from scratch
2017.08.19 第2回 United Medical Leaders Summit
for more info:
http://okiyamasho.com
Sho Okiyama
August 18, 2017
More Decks by Sho Okiyama
See All by Sho Okiyama
ChatGPTと医療の現在地 (ver.August-31, 2023)
shookiyama
6
9k
なぜこの宇宙は11次元なのか
shookiyama
0
310
エクスポネンシャル・テクノロジーと未来 / exponential technologies and the future
shookiyama
1
14k
医療 × AI, 量子コンピュータ, ブロックチェーン, ロボット, AR, VR, CRISPR, BCI / Medicine and AI, QC, BC and more
shookiyama
14
17k
Other Decks in Technology
See All in Technology
ビジネス部門からPOを迎えての半年間の進歩と課題
zozotech
PRO
0
150
200人の配信コメント、 全部Jevが仕分けます 〜 マサカリガードを作ってみた 〜
katayamatg
0
160
「Learning Outcome」を書きたくない私が、Learning Outcomeと折り合いをつけるまで
mhlyc
0
240
FinOps Agentが生んだ技術負債:コスト自動調査の落とし穴と解消までの道のり
oasis1994liveforever
3
300
渡米前の準備を制す!re:Invent 2026徹底準備術 / The Ultimate Preparation Guide for re:Invent 2026
yuj1osm
1
270
バフェットコード開発チームの心得(v1.1)
shoe116
0
110
クラウドサインを止めずに Nuxt へ 次の10年のために先に決めたこと
bengo4com
1
160
AIをリアル世界に解き放つ 〜M5Stack×AIであなたのアイディアを手の平に〜
hamadakoji
1
550
正解のない研修に放り出されて / Being thrown into a training program with no right answers
ohnoeight
1
150
AI駆動開発における開発環境のセキュリティの考え方
yamahiro
2
620
AIコーディングを実践してきた1年を振り返る / Looking Back on a Year of Practicing AI Coding
takedatakashi
1
140
AI秘書と毎日働くのはもう当たり前。開発以外の業務に足りない機能をどう埋める?
minorun365
PRO
2
1.7k
Featured
See All Featured
How to Ace a Technical Interview
jacobian
280
24k
Max Prin - Stacking Signals: How International SEO Comes Together (And Falls Apart)
techseoconnect
PRO
0
500
The Organizational Zoo: Understanding Human Behavior Agility Through Metaphoric Constructive Conversations (based on the works of Arthur Shelley, Ph.D)
kimpetersen
PRO
0
510
Lightning talk: Run Django tests with GitHub Actions
sabderemane
0
300
Effective software design: The role of men in debugging patriarchy in IT @ Voxxed Days AMS
baasie
1
580
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
17k
Exploring the relationship between traditional SERPs and Gen AI search
raygrieselhuber
PRO
4
4.4k
Reflections from 52 weeks, 52 projects
jeffersonlam
356
22k
Fashionably flexible responsive web design (full day workshop)
malarkey
409
67k
Paper Plane (Part 1)
katiecoart
PRO
2
12k
Visual Storytelling: How to be a Superhuman Communicator
reverentgeek
2
720
A Soul's Torment
seathinner
8
3.8k
Transcript
ΠϝʔδͰཧղ͢Δਓೳ ʙೖฤʙ ୈ2ճ United Medical Leaders Summit 2017.08.19 ԭࢁ ᠳ
Ͳ͔͜Β͕ਓೳ (AI) ʁ ϋʔυɿ ιϑτɿ ࣗಈυΞ ʻ ΤΫηϧ ʻ ʻ
తϩϘοτ ΞϧϑΝޟ ʮਓೳʯʹఆٛͳ͘ɺओ؍తͳͷ ʻ ϧϯό Ҋ
ҩྍ ʷ AI ELIZA (1966) MYCIN (1975) ײછͷ࣏ྍํΛఏࣔɻҰൠՊҩΛ্ճΔਖ਼֬ੑ ʢେͳYes/Noͷϑϩʔνϟʔτํࣜʣ ΧϯηϦϯάࣜͷରܕϓϩάϥϜ
ʢੈքॳͷνϟοτϘοτʣ ҩྍ ʷ AI ͷྺ࢙͍
ҩྍ ʷ AI ELIZA (1966) MYCIN (1975) ײછͷ࣏ྍํΛఏࣔɻҰൠՊҩΛ্ճΔਖ਼֬ੑ ʢେͳYes/Noͷϑϩʔνϟʔτํࣜʣ ΧϯηϦϯάࣜͷରܕϓϩάϥϜ
ʢੈքॳͷνϟοτϘοτʣ Siri (2011) Watson (2011) ҩྍ ʷ AI ͷྺ࢙͍
AIͷछྨ ਓೳ ػցֶश σΟʔϓϥʔχϯά ϧʔϧϕʔευ l ΞϧϑΝޟ l ը૾ೝࣝ l
AI in the 1980’s l ʮAͳΒBʯ ൚༻ਓೳʁ ਅʹ “త” ͳAI ݱঢ়ͷԆઢ্ʹͳ͍ ࣗવݴޠॲཧ l ࣗಈ༁
ػցֶशͷࣄྫ ϩόʔτ ΨϧϒϨΠε໊ٛͰग़൛ (2013) ৽ਓ࡞ՈͷׂʹෆࣗવͳͰٙු্ ༗໊࡞Ոͷ ஶ࡞ΛΠϯϓοτ ʢݕূʣ
ػցֶशͷࣄྫ ϩόʔτ ΨϧϒϨΠε໊ٛͰग़൛ (2013) ৽ਓ࡞ՈͷׂʹෆࣗવͳͰٙු্ ୭ͷຊʁ JKϩʔϦϯάɻ ༗໊࡞Ոͷ ஶ࡞ΛΠϯϓοτ ʢݕূʣ
ػցֶशͷࣄྫ ϩόʔτ ΨϧϒϨΠε໊ٛͰग़൛ (2013) ৽ਓ࡞ՈͷׂʹෆࣗવͳͰٙු্ ୭ͷຊʁ JKϩʔϦϯάɻ ֶश ਪ ༗໊࡞Ոͷ
ஶ࡞ΛΠϯϓοτ ʢݕূʣ
ػցֶशͷ͘͠Έ ֶश ڞ௨͢ΔύλʔϯΛݟग़͢ - େྔͷใ͕ඞཁ - σʔλͱϥϕϧʢจষͱஶऀ໊ʣ ͜ͷจମᕸੴ ͜ͷจମଠ࠻… ਪ
ύλʔϯʹͯΊͯճ - తʹߟ͍͑ͯΔ༁Ͱͳ͘ɺ ύλʔϯॲཧʢ౷ܭॲཧʣ͕ຊ࣭ ʁ ʮ…ޗഐͰ͋Δɻʯ ᕸੴɻ
ͰύλʔϯͱԿ͔ʁ ʮ͜ͷจମᕸੴɺ͜ͷจମଠ࠻…ʯ σʔλͱϥϕϧΛ݁ͼ͚ͭΔ๏ଇͷ͜ͱ Ұ ఆ ͷ ๏ ଇ σʔλ ϥϕϧ
ᕸੴ ଠ࠻
ࡾऀͷؔ σʔλ ϥϕϧ ๏ଇ ʷ ʹ 3ͭͷ͏ͪɺ2͕͔ͭΕΓ͕ٻΊΒΕΔ σʔλ&ϥϕϧ ͷϖΞ͕ࢁ͋Εɺ ͦΕΛͭͳ͙
๏ଇ ͕ࣗવͱු͔ͼ্͕Δ
1.ʮֶशʯͱʁ ֶशɿσʔλͱϥϕϧ͔Β๏ଇΛݟग़͢͜ͱ σʔλ ϥϕϧ ᕸੴ ଠ࠻ ᕸੴ ʁ ʁ ʁ
͜͜Λֶश ʢ=๏ଇΛݟग़͢ʣ
2.ʮਪʯͱʁ ਪɿσʔλͱ๏ଇ͔ΒϥϕϧΛ༧ଌ͢Δ͜ͱ σʔλ ͜͜Λ ༧ଌ͢Δ ʮ୭ʁʯ ֶशࡁΈ Ұ ఆ ͷ
๏ ଇ
ػցֶश·ͱΊ σʔλ ϥ ϕ ϧ σʔλ ϥ ϕ ϧ σʔλ
ϥ ϕ ϧ σʔλ&ϥϕϧͷ ϖΞଟ͔Βɺ ๏ଇʢύλʔϯʣ Λݟग़͠ɺ ॳݟͷσʔλΛ ೖͯ͠ϥϕϧ༧ଌ ֶश ਪ
͜͜·Ͱʹհͨ͠ػցֶश σʔλ ๏ଇ 1 ର 1 ର 1 ͷγϯϓϧͳؔੑΛ ෮͢Δ͜ͱͰֶश
͜ΕΛฒྻɾଟԽͨ͠ͷ͕σΟʔϓϥʔχϯά ϥϕϧ
σΟʔϓϥʔχϯάɿෳͷॲཧ σʔλ1 σʔλ2 σʔλ3 σʔλ4 ϥϕϧ1 ϥϕϧ2 ϥϕϧ3 ๏ଇ1 ๏ଇ2
ϥϕϧ4 ๏ଇ3 Ұʹෳͷσʔλ๏ଇɻԿ͋Δ͜ͱ͔Βɺ ʮਂֶश (deep learning)ʯ
σΟʔϓϥʔχϯάɿॏΈ͚ σʔλ1 σʔλ2 σʔλ3 σʔλ4 ϥϕϧ1 ϥϕϧ2 ϥϕϧ3 ๏ଇ1 ๏ଇ2
ϥϕϧ4 ๏ଇ3 ߲͝ͱͷ ӨڹྗʢॏΈʣΛֶश͢Δɻਫ਼͕ඈ༂తʹ্ ʢʮᕸੴʯͳΒ… “ޗഐ” : +80% , “ೣ” : +20% , “” : ʶ0%ʣ
σΟʔϓϥʔχϯάͷҐஔ͚ ϧʔϧϕʔευ ʢੲͷAIʣ ػցֶश σΟʔϓϥʔχϯά ʢDLʣ ػցֶश ʢDLؚΉʣ ϧʔϧϕʔευ ࣗવݴޠॲཧ
ͦͷଞͷ౷ܭ ΞϧΰϦζϜ
ͳ͍ͥ·AIͳͷ͔ ΫϥυԽʹΑΔେྔͷσʔλ େྔͷσʔλ GPUʹΑΔฒྻॲཧɺܭࢉͷ্ ϋʔυΣΞͷਐԽ PepperɺΞϧϑΝޟ ੈ͔ؒΒͷظײ Ωϟονʔͳࣄྫ
ҩྍԠ༻ͷՄೳੑͲ͜ʹʁ ҩྍ τϦΞʔδ த ݕࠪ ࠾݂ ը૾ அ ţŞžŖŬƃŞƄ
֬ఆஅ ࣏ྍ ରྍ๏ ࠜຊ࣏ྍ ՝͕େ͖͍ + ෆۉҰͳ՝͕ࠞ߹ ʷ ҩࢣͦΕͧΕͷ ઐͷ࣬ױ ֻ͚ࢉͨ͠ۉҰ෦ʹՄೳੑ
None
ױऀʹϑΥʔΧεͨ͠՝ ͪ͜ΒͰ͍͍͕… ͜͜ʹͦ͜Մೳੑ͕ ʮҩྍ ʷ AIͰɺ σΧ͍͜ͱΓ͍ͨʂʯ ʮਆܦ࣬ױͷɺύʔΩϯιϯ ީ܈ͷɺঢ়ͷɺৼઓɻ ࠔͬͯΔਓΛԿͱ͔͍ͨ͠ʂʯ
ϒϩά http://okiyamasho.com ɾུྺ 2010 – ౦ژେֶҩֶ෦ଔۀ 2012 – ٹ໋ٹٸҩʢҩྍηϯλʔʣ 2013
– υΫλʔϔϦɺౡҩྍʢੴ֞ౡɺরؒౡʣ 2015 – גࣜձࣾϝυϨʔʢࣥߦһʣ 2017 – ϑϦʔʢݚڀऀ/ใֶʣ ɾॴଐֶձ ਓೳֶձɺใॲཧֶձɺຊٹٸҩֶձʢઐҩʣɺຊՊֶձ ԭࢁ ᠳʢ͓͖· ͠ΐ͏ʣ