ゼロから始める深層強化学習(NLP2018講演資料)/ Introduction of Deep Reinforcement LearningPreferred Networks
Introduction of Deep Reinforcement Learning, which was presented at domestic NLP conference.
言語処理学会第24回年次大会(NLP2018) での講演資料です。
http://www.anlp.jp/nlp2018/#tutorial
本スライドは、弊社の梅本により弊社内の技術勉強会で使用されたものです。
近年注目を集めるアーキテクチャーである「Transformer」の解説スライドとなっております。
"Arithmer Seminar" is weekly held, where professionals from within and outside our company give lectures on their respective expertise.
The slides are made by the lecturer from outside our company, and shared here with his/her permission.
Arithmer株式会社は東京大学大学院数理科学研究科発の数学の会社です。私達は現代数学を応用して、様々な分野のソリューションに、新しい高度AIシステムを導入しています。AIをいかに上手に使って仕事を効率化するか、そして人々の役に立つ結果を生み出すのか、それを考えるのが私たちの仕事です。
Arithmer began at the University of Tokyo Graduate School of Mathematical Sciences. Today, our research of modern mathematics and AI systems has the capability of providing solutions when dealing with tough complex issues. At Arithmer we believe it is our job to realize the functions of AI through improving work efficiency and producing more useful results for society.
Mob Programming - or why it is a good idea to have only one Computer per Team...Lars Haßler
Software development is hard, especially because everything can and will change as everybody has to become more agile. Problems are getting bigger and bigger for one brain to comprehend, this is why many companies are already working in a pair-programming approach. So why not turn this all the way up?
This talk is an introduction into mob programming, when to use it and how to use it correctly.
It was given at GrowIT, Dec 1st 2018 in Novi Sad.
https://2018.growit.events
ゼロから始める深層強化学習(NLP2018講演資料)/ Introduction of Deep Reinforcement LearningPreferred Networks
Introduction of Deep Reinforcement Learning, which was presented at domestic NLP conference.
言語処理学会第24回年次大会(NLP2018) での講演資料です。
http://www.anlp.jp/nlp2018/#tutorial
本スライドは、弊社の梅本により弊社内の技術勉強会で使用されたものです。
近年注目を集めるアーキテクチャーである「Transformer」の解説スライドとなっております。
"Arithmer Seminar" is weekly held, where professionals from within and outside our company give lectures on their respective expertise.
The slides are made by the lecturer from outside our company, and shared here with his/her permission.
Arithmer株式会社は東京大学大学院数理科学研究科発の数学の会社です。私達は現代数学を応用して、様々な分野のソリューションに、新しい高度AIシステムを導入しています。AIをいかに上手に使って仕事を効率化するか、そして人々の役に立つ結果を生み出すのか、それを考えるのが私たちの仕事です。
Arithmer began at the University of Tokyo Graduate School of Mathematical Sciences. Today, our research of modern mathematics and AI systems has the capability of providing solutions when dealing with tough complex issues. At Arithmer we believe it is our job to realize the functions of AI through improving work efficiency and producing more useful results for society.
Mob Programming - or why it is a good idea to have only one Computer per Team...Lars Haßler
Software development is hard, especially because everything can and will change as everybody has to become more agile. Problems are getting bigger and bigger for one brain to comprehend, this is why many companies are already working in a pair-programming approach. So why not turn this all the way up?
This talk is an introduction into mob programming, when to use it and how to use it correctly.
It was given at GrowIT, Dec 1st 2018 in Novi Sad.
https://2018.growit.events
Mob Programming - or why it is a good idea to have only one Computer per TeamLars Haßler
Software development is hard, especially because everything can and will change as everybody has to become more agile. Problems are getting bigger and bigger for one brain to comprehend, this is why many companies are already working in a pair-programming approach. So why not turn this all the way up?
This talk will be an introduction into mob programming, when to use it and how to use it correctly.
Practical resource monitoring with munin (English editon)Masahito Zembutsu
Hello. I'm @zembutsu. I work in a server hosting company in Japan. I am a solution engineer, and I am in charge of server and network operation mainly.
So, as for my presentation, it is a resource monitoring tool about Munin.
original version is here ( in Japanese )
http://www.slideshare.net/zembutsu/practical-resource-monitoring-with-munin
Munin User Group Japan http://munin.jp/
Masahito Zembutsu @zembutsu
September 8, 2012 OpenSource Conference 2012 Tokyo/Fall, Japan (#osc12tk)
#1 Berlin Students in AI, Machine Learning & NLP presentationparlamind
For the first ever Meetup of Berlin Students in AI, Machine Learning & NLP Dr. Tina Klüwer (CTO at parlamind.com and Nuria Bertomeu Castello (CSO) gave and introductory presentation on conversational intelligence.
第六回全日本コンピュータビジョン勉強会資料 UniT (旧題: Transformer is all you need)Yasunori Ozaki
第六回全日本コンピュータビジョン勉強会資料です。今回は、 UniT: Multimodal Multitask Learning with a Unified Transformer を紹介します。提案手法であるUniTは自然言語、ビジョン、 Vision and Language のタスクをそれぞれ統一的に解けるTransformer になります。
Detecting attended visual targets in video の勉強会用資料Yasunori Ozaki
第三回 全日本コンピュータビジョン勉強会(後編)で発表した Detecting attended visual targets in video のまとめ資料です。映像中にいる人物が注意を払っている対象を推定するタスクを解いた話です。コンピュータビジョンや認知科学などに興味がある方はぜひご覧ください。
ROSCon 2019と併催されたIROS 2019参加報告です。ROSCon 2019参加報告会で報告する予定の内容となります。内容はIROSにおけるROSの位置づけとなります。よろしくおねがいします。
This presentation reports a part of IROS 2019 in terms of ROS. If you want to read this presentation in English, please refer to that as a comment.
このスライドは、インタラクション分野のトップカンファレンスCHIに設けられたセクションInteract with AIの論文をそれぞれ1枚に要約したものになります。説明可能なAI (XAI) の話やAIによる作業支援の話をまとめています。この内容は CHI 2019勉強会で発表した一部となります。CHI 2019勉強会の内容をもっと知りたい方はこちらのリンクを御覧ください。
http://study.hci.one/event/chi2019/program
CVPR2019読み会 (Rethinking the Evaluation of Video Summaries)Yasunori Ozaki
CVPR2019読み会で発表したRethinking the Evaluation of Video Summariesの説明スライドです。論文自体は映像要約全体を分析しており、読み応えがありました。説明スライドがあっているかどうかよくわからないので、詳しくは本人に聞いてください。よろしくおねがいします。
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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31. 参考⽂献
[1] 森村哲郎, “強化学習 (機械学習プロフェッショナルシリーズ),” 2019
[2] セバスチャン・スランら, “確率ロボティクス”, 2007
[3] Cassandra et al., “A Survey of POMDP Applications,”
[4] Wydmuch et al., “ViZDoom Competitions: Playing Doom from Pixels,” 2018,
https://github.com/mwydmuch/ViZDoom
[5] Kempka, et al., “ViZDoom: A Doom-based AI Research Platform for Visual
Reinforcement Learning,” 2016
[6] Lample et al., “Playing FPS Games with Deep Reinforcement Learning”, 2016
32. 参考⽂献
[7] Kiran et al., “Deep Reinforcement Learning for Autonomous Driving: A Survey” 2020
[8] Zhu., “A Survey of Deep RL and IL for Autonomous Driving Policy Learning,” 2021
[9] Bojarski et al., “End to End Learning for Self-Driving Cars,” 2016
[10] Folkers et al., “Controlling an Autonomous Vehicle with Deep Reinforcement
Learning,” 2019
[11] Hausknecht et al., “Deep Recurrent Q-Learning for Partially Observable MDPs” 2015
[12] “POMDPs for Dummies”,
https://cs.brown.edu/research/ai/pomdp/tutorial/index.html
[13] 牧野ら, “これからの強化学習”, 2016
[14] Anthony R. Cassandra, “The POMDP Page”, https://www.pomdp.org/
[15] 渡辺有祐、”グラフィカルモデル” 2016