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
Blockchain R&D Introduction
Search
yamarkz
February 02, 2018
Research
51k
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Blockchain R&D Introduction
yamarkz
February 02, 2018
More Decks by yamarkz
See All by yamarkz
ネットスーパーの買い物体験を支える工夫と決済機能実現の過程
yamarkz
0
2k
Flutter/Dartと共に歩んだスタートアップの開発を振り返って得た、成功と失敗の教訓
yamarkz
5
3.3k
Bloc PatternにおけるBloc分割の方針と実践例 / Division plan and practical example in bloc pattern
yamarkz
7
28k
Smart Contract Design Pattern
yamarkz
4
3k
トークンの概要と開発観点から見たICO / Token and TokenSale
yamarkz
5
62k
Zilliqa Next Gen High Throughput Blockchain Platform
yamarkz
0
2.4k
詳解 Ethereum Transaction / detail ethereum transaction
yamarkz
5
3k
Proof of Stake Casper
yamarkz
8
14k
Bitcoin Improvement Flow
yamarkz
5
4.7k
Other Decks in Research
See All in Research
論文読み会 SNLP2026 Tau2-Bench: Evaluating Conversational Agents in a Dual-Control Environment
s_mizuki_nlp
0
240
Language and AI
ayaniwa
0
230
PHTalks Bengaluru - SSRF When All Else Fails
dk999
0
1.1k
VRID: View-Invariant Representation through Dual-Axis Transformation for Cross-iew Pose Estimation
satai
3
100
ros2-perf-multihost: 分散システムにおける客観的なアーキテクチャ評価フレームワーク
takasehideki
0
250
大規模言語モデルは誰を覚えているか / Who Do Large Language Models Memorize?
upura
0
170
Visual SLAM未来予測 / Future Prediction in Visual SLAM
koide3
1
1k
SoftMatcha 2: 1兆語規模コーパスの超高速かつ柔らかい検索
e869120_sub
7
3.8k
Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance
satai
3
130
J-STAGEの現況と全文XML登載必須化について
xspa2012
0
220
JICA QUEST 共創×革新プログラム Impact Report(海ノ向こうコーヒー)
ontheslope
0
560
MIRU2026 チュートリアル講演2:三次元データ処理の動向
nnchiba
6
4.8k
Featured
See All Featured
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
49
3.5k
Art, The Web, and Tiny UX
lynnandtonic
304
22k
Groundhog Day: Seeking Process in Gaming for Health
codingconduct
0
340
Why You Should Never Use an ORM
jnunemaker
PRO
61
10k
A designer walks into a library…
pauljervisheath
211
25k
Site-Speed That Sticks
csswizardry
13
1.5k
How To Speak Unicorn (iThemes Webinar)
marktimemedia
1
570
Build The Right Thing And Hit Your Dates
maggiecrowley
39
3.4k
Un-Boring Meetings
codingconduct
0
410
Fireside Chat
paigeccino
43
4k
ReactJS: Keep Simple. Everything can be a component!
pedronauck
666
130k
コードの90%をAIが書く世界で何が待っているのか / What awaits us in a world where 90% of the code is written by AI
rkaga
63
45k
Transcript
ϒϩοΫνΣʔϯٕज़3%ͷऔΓΈํͷհ ϒϩοΫνΣʔϯษڧձ-JHIUOJOHUBML ,B[VLJ:BNBHVDIJ !ZBNBSL[ (VOPTZ*OD
4PGUXBSF&OHJOFFS!(VOPTZ (SBEVBUFEGSPN4QSJOH 8FC"QQMJDBUJPO3BJMT %BQQT4PMJEJUZ 3FTFBSDI$SZQUP$VSSFODZ#MPDLDIBJO (JUIVC5XJUUFS!ZBNBSL[ ,B[VLJ:BNBHVDIJ!ZBNBSL[
(VOPTZ#MPDLDIBJO#MPHͬͯ·͢ʂ ʮIUUQCMPDLDIBJOHVOPTZJPʯPSʮάϊγʔϒϩοΫνΣʔϯʯ
3%ͷऔΓΈํΛհ͠·͢ʂʂʂ "HFOEB
3%ͬͯԿͩΖ͏ʁ
3FTFBSDI%FWFMPQNFOU ݚڀ։ൃ (VOPTZͷdޙͷΛ࡞Δ͘ɺ 73"3ɺϒϩοΫνΣʔϯٕज़ͳͲͷࠓޙීٴ͢ΔՄೳੑͷ͋Δ ৽͍͠σόΠεٕज़Λݚڀ͠ɺ ٕज़తͳ༏ҐੑΛ࡞Γɺ৽نαʔϏεͷ্ཱͪ͛Λࢦ͢ɻ
*OQVU0VUQVU Δ͜ͱγϯϓϧ ϒϩοΫνΣʔϯٕज़ͷέʔεΛհ͠·͢ʂ
*OQVU ɾղઆຊ ɾωοτهࣄ ɾ4/4 ɾϓϩμΫτιʔείʔυ ɾจ ɾΠϕϯτͷࢀՃ ɾ։ൃͷϝʔϦϯάϦετ ɾΧϯϑΝϨϯεͷಈը
ϒϩοΫνΣʔϯษڧ༻TMBDLνϟϯωϧ࡞ɻ ྑ࣭ͳใ͕ೖखͰ͖ΔαΠτΛ344ొ͠ຖνΣοΫ͢Δ *OQVUͷͦͷ
ຖؾʹͳͬͨχϡʔενʔϜͰੵۃతʹڞ༗͢Δ *OQVUͷͦͷ
ྑ࣭ͳใΛೖख͢ΔͨΊͷࢿੵۃతʹߦ͏ *OQVUͷɹͦͷ
0VUQVU ɾϒϩάࣥච ɾࣾυΩϡϝϯτ ɾࣾษڧձ ɾΠϕϯτొஃ ɾϓϩμΫτ։ൃ
0VUQVUͷͦͷ ຖேνʔϜͰֶͼΛڞ༗͢Δ ϛχษڧձ ପԁۂઢ҉߸Λ༻͍ͨɺ $POpEFOUJBM5SBOTBDUJPOͷ 10*ͷΈΛհ
0VUQVUͷͦͷ ࣾʹͱͲ·Βͣɺࣾ֎ʹ͚ͯൃ৴͢Δ CMPDLDIBJOUPLZP
0VUQVUͷͦͷ ͍Λ͛Δɻਓʹઆ໌Ͱ͖Δ͔͕ɺཧղͰ͖ͯΔ͔ͷج४ʹͳΔ w ͕ࣗϏοτίΠϯΛ͍͘Β࣋ͬͯΔ͍Δͷ͔֬ೝ͢Δʹʁ w 417ͷΈͬͯʁ w 4FHXJU͕ղܾ͢Δͭͷͱͦͷഎܠʁ w ϋʔυϑΥʔΫͱιϑτϑΥʔΫͷҧ͍ʁ
w &UIFSFVNಗ໊τϥϯβΫγϣϯͷΈ w ಉ͡λΠϛϯάͰϒϩοΫ͕ϚΠχϯά͞Εͨ࣌νΣʔϯͲ͏ͳΔͷʁ w 1SPPGPG4UBLFͬͯԿʁ w 1SPPGPG8PSLͬͯԿʁ w ϏοτίΠϯ͕νϡʔϦϯάෆશͳͷͳͥʁ w &UIFSFVN͕νϡʔϦϯάશͰѱ༻͞Εͳ͍ͷͲ͏͍ͬͨΈ͕͋Δͷʁ w ϚΠχϯάϓʔϧͰͷใुͷΈʁ w τϥϯβΫγϣϯలੑͬͯԿʁ w 417ʹ͓͍ͯϓϥΠόγʔͷ؍͔Β࠾༻͞Ε͍ͯΔΈʁ
·ͱΊ w ྑ࣭ͳΠϯϓοτΛޮతʹߦ͏ҝʹΈΛ࡞Δ 4MBDLνϟϯωϧ ڞ༗ ֶशࢿ w ඞͣԿ͔͠ΒՌΛ͢ ϒϩά υΩϡϝϯτ
ొஃ ϓϩμΫτ w ਓʹڭ͑Δ͜ͱ͕Ͱ͖ΔϨϕϧ·Ͱཧղ͢Δ ษڧձ ͍Λ͛Δ