International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
1) The document describes i*-REST, a system for lightweight modeling of i* models using RESTful web services.
2) i*-REST provides services for creating and visualizing i* models from iStarML as well as monitoring and analyzing social systems through techniques like social network analysis and goal mining.
3) A case study applies i*-REST to analyze an online language learning forum, generating i* models from the monitoring data to represent user goals and roles over time.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Shilpa Batra is a computer science professional with over 5 years of experience in teaching and research. She holds an M.Tech in Information Technology from Amity University and a B.Tech in Information Technology. Her skills include programming languages like C, C++, Java and Python. She has worked as an Assistant Professor, Technical Content Writer, and Faculty. Her research interests are in areas like computer networking, data communication, software testing and database administration. She has published several research papers and completed projects in e-commerce, intrusion detection systems and computer networks.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The document announces a call for papers for the International Journal of Artificial Intelligence & Machine Learning. The submission deadline is February 20, 2014, with notification of acceptance by March 10, 2014 and final versions due by March 20, 2014. The journal publishes research on all areas of artificial intelligence and machine learning. Authors are invited to submit manuscripts by email. Membership on the editorial board is also invited.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning is calling for original research papers, reviews, and technical notes on topics related to artificial intelligence and machine learning. The submission deadline is July 10, 2014, with notification of acceptance by July 30, 2014 and the final version due August 10, 2014. Topics of interest include machine learning tools, neural networks, data mining, fuzzy logic, computer vision, and more. Authors should submit manuscripts by email to the provided addresses, with publication being free of charge.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
1) The document describes i*-REST, a system for lightweight modeling of i* models using RESTful web services.
2) i*-REST provides services for creating and visualizing i* models from iStarML as well as monitoring and analyzing social systems through techniques like social network analysis and goal mining.
3) A case study applies i*-REST to analyze an online language learning forum, generating i* models from the monitoring data to represent user goals and roles over time.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Shilpa Batra is a computer science professional with over 5 years of experience in teaching and research. She holds an M.Tech in Information Technology from Amity University and a B.Tech in Information Technology. Her skills include programming languages like C, C++, Java and Python. She has worked as an Assistant Professor, Technical Content Writer, and Faculty. Her research interests are in areas like computer networking, data communication, software testing and database administration. She has published several research papers and completed projects in e-commerce, intrusion detection systems and computer networks.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The document announces a call for papers for the International Journal of Artificial Intelligence & Machine Learning. The submission deadline is February 20, 2014, with notification of acceptance by March 10, 2014 and final versions due by March 20, 2014. The journal publishes research on all areas of artificial intelligence and machine learning. Authors are invited to submit manuscripts by email. Membership on the editorial board is also invited.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning is calling for original research papers, reviews, and technical notes on topics related to artificial intelligence and machine learning. The submission deadline is July 10, 2014, with notification of acceptance by July 30, 2014 and the final version due August 10, 2014. Topics of interest include machine learning tools, neural networks, data mining, fuzzy logic, computer vision, and more. Authors should submit manuscripts by email to the provided addresses, with publication being free of charge.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
The document announces a call for papers for the International Journal of Artificial Intelligence & Machine Learning. The submission deadline is June 20, 2014, with notification of acceptance by July 10, 2014 and the final version due by July 20, 2014. The journal publishes original research, reviews, and technical notes on all topics related to artificial intelligence and machine learning. Authors are invited to submit manuscripts by email to the provided addresses, with publication fees waived.
Data science, Know as data-driven science, is also an interdisciplinary field of scientific methods, processes, algorithms, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Savita Kathu Patil is seeking a job that provides a symbiotic relationship. She has a Bachelor's Degree in Information Technology with 60.5% aggregate from Pune University. She stood first in her class in her third and final years and has skills in languages like Java, C, C++. She has completed projects in areas like student attendance management and comparing time synchronization protocols in wireless sensor networks. She also participated in various workshops and competitions.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
The document announces a post-event reminiscence about life after college held on November 3rd and 4th, 2018 at DTU Delhi from Saturday to Sunday. The event featured sessions on ethical hacking, artificial intelligence, and Android app development. It was hosted in association with DTU Delhi on the specified dates from Saturday to Sunday.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document summarizes a presentation given by Professor Pekka Abrahamsson on how ChatGPT and AI-assisted coding is profoundly changing software engineering. The presentation covers several key points:
- ChatGPT and AI tools like Copilot are beginning to be adopted in software engineering to provide code snippets, answers to technical questions, and assist with debugging, but issues around code ownership, reliability, and security need to be addressed.
- Early studies show potential benefits of ChatGPT for tasks like software testing education, code quality improvement, and requirements elicitation, but more research is still needed.
- Prompt engineering techniques can help maximize the usefulness of ChatGPT for software engineering tasks. Overall, AI
This document provides information about three candidates for the position of IEEE Region 10 Delegate-Elect/Director-Elect for 2011-2012: Jose Cruz, Toshio Fukuda, and Ramakrishna Kappagantu. It includes brief biographies of each candidate, outlines of their IEEE experience and accomplishments, and statements of goals if elected to the position.
Hironori Kasahara is running for President-Elect of the IEEE Computer Society in 2017. He has extensive experience serving on 225 society and government committees related to computer science. Kasahara has also held professorships in computer science since 1997 and has led national projects in Japan on parallelizing compilers and embedded multicores. He has published widely and received several awards for his contributions to the field of computer science.
ChatGPT for State The Art- Prof. Wisnu Jatmiko (UIN Raden Fatah 2023).pdfAchmadNizarHidayanto
The document summarizes Prof. Dr. Wisnu Jatmiko's discussion on utilizing ChatGPT for analyzing the feasibility of research (state of the art). Some key points:
1. ChatGPT has capabilities like question answering, summarization, and language generation that can help with tasks in higher education like literature reviews, finding research gaps, and explaining academic papers.
2. ChatGPT should be used ethically, as an assistive tool rather than a replacement for human work. While it has passed some scientific exams, humans must validate its responses.
3. ChatGPT can help save time on initial research tasks but has limitations. Researchers should control ChatGPT and not rely on it
This document provides biographical information about Jim Spohrer, a retired IBM executive and UIDP Senior Fellow who was invited to give a presentation on AI to the Branch 54 SIRS group. The document includes Spohrer's contact information, references to books and resources he recommends, an outline of the topics he plans to discuss in his presentation, including an overview of AI progress and timelines, solving AI through leaderboards and exams, solving IA through better building blocks, and preparing for solving all problems. It also shares Spohrer's background, areas of study and priorities as an advisor focused on service innovation, AI upskilling, future universities and more.
The document announces an upcoming AI and OpenPOWER meetup on March 25th, 2018 in San Ramon, California from 4-7:30pm where attendees can learn about the latest advances in artificial intelligence and deep learning tools from industry leaders and pioneers and discuss how these technologies are impacting their industries. Prominent speakers will discuss topics ranging from machine learning performance and best practices to AI research at NASA and scalable machine learning with Apache SystemML on Power systems. The meetup aims to gather cutting-edge insights on AI from innovators across different sectors.
Professor Kwei-Jay Lin will give an invited talk titled "The AutoCoach Smart Agent Project: AI with a Personality". He will discuss the AutoCoach project, which uses an Android application and sensors to monitor a driver's behavior in real time and compare it to their history and others. Based on this analysis, AutoCoach offers personalized recommendations to make drivers aware of potential problems and gradually improve their behavior. The talk will cover AutoCoach's system architecture, user interface design, and early experiences using AI technologies to collect driving data, analyze behaviors, match users to driving styles, and provide intelligent feedback to persuade safer driving.
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
Matsuo Lab is comprised of over 200 members including researchers, staff, students, and teaching assistants affiliated with the Graduate School of Engineering at the University of Tokyo. The lab specializes in artificial intelligence and web engineering research with a focus on deep learning and its applications in areas like computer vision, natural language processing, and robotics. The lab aims to both conduct fundamental AI research and contribute to society by supporting the creation of startups through entrepreneurship education and business incubation programs.
A Research Paper on HUMAN MACHINE CONVERSATION USING CHATBOTIRJET Journal
The document describes a research paper on developing a human-machine conversation chatbot. It discusses using artificial intelligence, natural language processing, and machine learning techniques to create an intelligent tutoring chatbot. The proposed methodology involves two stages: knowledge modeling and representation, and conversation flow design. It defines the chatbot architecture and training process that uses Python libraries, intent data files, trained models, and a GUI interface. The goal is to demonstrate building a basic social media and command line chatbot to showcase chatbot and AI concepts.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
The document announces a call for papers for the International Journal of Artificial Intelligence & Machine Learning. The submission deadline is June 20, 2014, with notification of acceptance by July 10, 2014 and the final version due by July 20, 2014. The journal publishes original research, reviews, and technical notes on all topics related to artificial intelligence and machine learning. Authors are invited to submit manuscripts by email to the provided addresses, with publication fees waived.
Data science, Know as data-driven science, is also an interdisciplinary field of scientific methods, processes, algorithms, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Savita Kathu Patil is seeking a job that provides a symbiotic relationship. She has a Bachelor's Degree in Information Technology with 60.5% aggregate from Pune University. She stood first in her class in her third and final years and has skills in languages like Java, C, C++. She has completed projects in areas like student attendance management and comparing time synchronization protocols in wireless sensor networks. She also participated in various workshops and competitions.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
The document announces a post-event reminiscence about life after college held on November 3rd and 4th, 2018 at DTU Delhi from Saturday to Sunday. The event featured sessions on ethical hacking, artificial intelligence, and Android app development. It was hosted in association with DTU Delhi on the specified dates from Saturday to Sunday.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Artificial Intelligence & Machine Learning (IJAIML)arpublication
The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document summarizes a presentation given by Professor Pekka Abrahamsson on how ChatGPT and AI-assisted coding is profoundly changing software engineering. The presentation covers several key points:
- ChatGPT and AI tools like Copilot are beginning to be adopted in software engineering to provide code snippets, answers to technical questions, and assist with debugging, but issues around code ownership, reliability, and security need to be addressed.
- Early studies show potential benefits of ChatGPT for tasks like software testing education, code quality improvement, and requirements elicitation, but more research is still needed.
- Prompt engineering techniques can help maximize the usefulness of ChatGPT for software engineering tasks. Overall, AI
This document provides information about three candidates for the position of IEEE Region 10 Delegate-Elect/Director-Elect for 2011-2012: Jose Cruz, Toshio Fukuda, and Ramakrishna Kappagantu. It includes brief biographies of each candidate, outlines of their IEEE experience and accomplishments, and statements of goals if elected to the position.
Hironori Kasahara is running for President-Elect of the IEEE Computer Society in 2017. He has extensive experience serving on 225 society and government committees related to computer science. Kasahara has also held professorships in computer science since 1997 and has led national projects in Japan on parallelizing compilers and embedded multicores. He has published widely and received several awards for his contributions to the field of computer science.
ChatGPT for State The Art- Prof. Wisnu Jatmiko (UIN Raden Fatah 2023).pdfAchmadNizarHidayanto
The document summarizes Prof. Dr. Wisnu Jatmiko's discussion on utilizing ChatGPT for analyzing the feasibility of research (state of the art). Some key points:
1. ChatGPT has capabilities like question answering, summarization, and language generation that can help with tasks in higher education like literature reviews, finding research gaps, and explaining academic papers.
2. ChatGPT should be used ethically, as an assistive tool rather than a replacement for human work. While it has passed some scientific exams, humans must validate its responses.
3. ChatGPT can help save time on initial research tasks but has limitations. Researchers should control ChatGPT and not rely on it
This document provides biographical information about Jim Spohrer, a retired IBM executive and UIDP Senior Fellow who was invited to give a presentation on AI to the Branch 54 SIRS group. The document includes Spohrer's contact information, references to books and resources he recommends, an outline of the topics he plans to discuss in his presentation, including an overview of AI progress and timelines, solving AI through leaderboards and exams, solving IA through better building blocks, and preparing for solving all problems. It also shares Spohrer's background, areas of study and priorities as an advisor focused on service innovation, AI upskilling, future universities and more.
The document announces an upcoming AI and OpenPOWER meetup on March 25th, 2018 in San Ramon, California from 4-7:30pm where attendees can learn about the latest advances in artificial intelligence and deep learning tools from industry leaders and pioneers and discuss how these technologies are impacting their industries. Prominent speakers will discuss topics ranging from machine learning performance and best practices to AI research at NASA and scalable machine learning with Apache SystemML on Power systems. The meetup aims to gather cutting-edge insights on AI from innovators across different sectors.
Professor Kwei-Jay Lin will give an invited talk titled "The AutoCoach Smart Agent Project: AI with a Personality". He will discuss the AutoCoach project, which uses an Android application and sensors to monitor a driver's behavior in real time and compare it to their history and others. Based on this analysis, AutoCoach offers personalized recommendations to make drivers aware of potential problems and gradually improve their behavior. The talk will cover AutoCoach's system architecture, user interface design, and early experiences using AI technologies to collect driving data, analyze behaviors, match users to driving styles, and provide intelligent feedback to persuade safer driving.
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
Matsuo Lab is comprised of over 200 members including researchers, staff, students, and teaching assistants affiliated with the Graduate School of Engineering at the University of Tokyo. The lab specializes in artificial intelligence and web engineering research with a focus on deep learning and its applications in areas like computer vision, natural language processing, and robotics. The lab aims to both conduct fundamental AI research and contribute to society by supporting the creation of startups through entrepreneurship education and business incubation programs.
A Research Paper on HUMAN MACHINE CONVERSATION USING CHATBOTIRJET Journal
The document describes a research paper on developing a human-machine conversation chatbot. It discusses using artificial intelligence, natural language processing, and machine learning techniques to create an intelligent tutoring chatbot. The proposed methodology involves two stages: knowledge modeling and representation, and conversation flow design. It defines the chatbot architecture and training process that uses Python libraries, intent data files, trained models, and a GUI interface. The goal is to demonstrate building a basic social media and command line chatbot to showcase chatbot and AI concepts.
Pranav Mistry is a PhD candidate at the MIT Media Lab studying gestural interfaces. He has a background in computer engineering, industrial design, and human-computer interaction. His research focuses on developing new technologies for intuitive, wearable gestural interfaces like SixthSense and augmented reality systems. He has received several awards for his work and has published widely on gestural interaction and ubiquitous computing.
The document provides a list of speakers for the Neoteny Start-up Camp 1 on December 12-13, 2009. It includes short biographies for 10 individuals: Joichi Ito, Cory Ondrejka, Jay Dvivedi, IDEO, Pivotal Labs, Jens Ohlig, Bre Pettis, MakerBot Industries, Mitch Altman, and Cornfield Electronics. The speakers come from a variety of technology backgrounds including venture capital, online communities, banking IT, design, software development, hacking, and electronics.
The document announces an upcoming AI and OpenPOWER meetup event on March 25, 2018 in San Ramon, CA from 4:00 pm to 7:30 pm. Prominent speakers will discuss latest advances in deep learning tools and techniques from industry, research, and the financial sector. The meetup aims to share cutting-edge insights from pioneers in different industries.
The document announces an upcoming AI and OpenPOWER meetup on March 25th, 2018 from 4-7:30pm at 2603 Camino Ramon #200, San Ramon, CA 94583, USA. Prominent speakers will discuss advances in deep learning tools and techniques from leading innovators across industry, research, and the financial sector. Attendees will learn about AI's latest real-world impact and gather cutting-edge insights from pioneers in their industry.
This document summarizes Jim Spohrer's presentation on robust university-industry collaborations. It discusses several easy and more complex approaches for collaborations, including PhD fellowships, faculty research awards, internships, co-funded research centers, and open innovation networks. Spohrer serves on the board of ISSIP.org and contributes to the Linux Foundation AI and Data Foundation. He retired from IBM in 2021 after a career in service science and directing various university and open source programs.
- Service science has progressed significantly in the past two decades since its inception in the early 2000s.
- However, there is still a long way to go to fully realize the potential of service science and its role in areas like upskilling with AI.
- Looking ahead, some of the biggest challenges will be upskilling entire nations with AI for digital transformation, while also decarbonizing nations through sustainable energy infrastructure - both accomplished through service-based business models.
The document announces an AI and OpenPOWER meetup to take place on March 25th, 2018 from 4-7:30pm at the h2o.AI headquarters in Mountain View, CA. The meetup will feature prominent speakers from industry, research, and the financial sector who will discuss advances in deep learning tools and techniques. Key speakers include Ganesan Narayanasamy from IBM who will discuss OpenPOWER activities and supercomputers, and Sudha Jamthe from IoTDisruptions.com who will discuss AI trends towards a driverless world.
- Heejoon Hwang has 8 years of experience researching and writing papers as part of the Multimedia Security Lab at Korea University's Graduate School of Information Security.
- He developed MATLAB coding and algorithms for image processing and watermarking, publishing 4 SCI papers in information hiding.
- He participated in over 10 national projects, developing skills in presentations, reporting, and hosting international conferences.
Machine Learning Systems Engineering (MLSE) is a collective effort started 5 years ago in Japan to address challenges in developing and deploying machine learning systems. Key activities included panel discussions at conferences to raise awareness among software engineers, workshops identifying gaps between ML and software engineering practices, and forming a special interest group to organize further discussions. Working groups studied challenges such as fairness, infrastructure, and development processes. International collaborations helped spread ideas to other countries. Research projects explored techniques for requirements engineering, testing, debugging and assuring quality in machine learning systems to develop the new field of machine learning systems engineering. Guidelines and books were also created to establish best practices.
This document contains notes from a presentation by Jim Spohrer on leadership, career experiences, and technology topics. The presentation covers collaborating with others, teamwork practices, storytelling, communication skills, leadership habits and mindsets. It includes links to Spohrer's online profiles and resources. Tables provide estimates of increasing GDP per employee over time and a timeline of Spohrer's career highlights and accomplishments in the fields of service science and artificial intelligence.
Jawad Haqbeen from Nagoya Institute of Technology Jawad Haqbeen
This document discusses using a conversational agent to facilitate discussion and generate ideas to help achieve the UN Sustainable Development Goals (SDGs). It conducted an experiment using an agent to moderate online discussions on SDG topics. The results showed that discussions with agent facilitation generated more ideas and supporting arguments compared to discussions without an agent. The agent helped engage more participants, extract valuable insights, and lead to more deliberation. Future work involves larger scale discussions to further harness the collective intelligence of crowds to help policymaking efforts towards achieving the SDGs.
TS2-1: Shoko Kimura from Japan Advanced Institute of Science and TechnologyJawad Haqbeen
Session Chair: Kiyota Hashimoto
Session Theme: Online Discussion and Cooperation
Session Number: 2
Paper No: 11
Session and Talk No: TS2-1
Type: Short
Co-authors: Shoko Kimura, Susumu Kunifuji and Takayuki Ito
Title: A Comparative Study of the Effects of Clapping Hands Sounds and Gesture Presentation During Online Meetings
TS2-2: Shun Shiramatsu from Nagoya Institute of TechnologyJawad Haqbeen
Session Chair: Kiyota Hashimoto
Session Theme: Online Discussion and Cooperation
Session Number: 2
Paper No: 28
Session and Talk No: TS2-2
Type: Short
Co-authors: Shun Shiramatsu and Yasunobu Igarashi
Title: A Preliminary Consideration toward Evidence-based Consensus Building through Human-Agent Collaboration on Semantic Authoring Platform
TS2-5: Jie Jiang from Japan Advanced Institute of Science and TechnologyJawad Haqbeen
Session Chair: Kyota Hashimoto
Session Theme: Online Discussion and Cooperation
Session Number: 2
Paper No: 6
Session and Talk No: TS2-5
Type: Full
Co-authors: Jie Jiang, Nagai Yukari, Yuizono Takaya and Yang Yu
Title: Research on New Quantitative Methods to Understand the Vitality of Urban Public Space
TS2-4: Sofia Sahab from Nagoya Institute of TechnologyJawad Haqbeen
Session Chair: Kiyota Hashimoto
Session Theme: Online Discussion and Cooperation
Session Number: 2
Paper No: 3
Session and Talk No: TS2-4
Type: Full
Co-authors: Sofia Sahab, Takayuki Ito, Jawad Haqbeen and Shun Okuhara
Title: Towards an Insights-Driven Participatory Tool for Social Sustainability in the context of Neighborhood Functions of Gozars in Kabul City
The 15th International Conference on Knowledge, Information and Creativity Support System Program had two days of sessions and talks. Day 1 included 3 sessions, 2 invited talks, an award ceremony and social events. Day 2 featured 2 sessions, 2 invited talks and a closing ceremony.
TS1-2: Xiuxia Cui from Japan Advanced Institute of Science and Technology Jawad Haqbeen
Session Chair: Thanaruk Theeramunkong
Session Theme: Creative Research Environments & their Performance
Session Number: 1
Paper No: 18
Session and Talk No: TS1-2
Type: Full
Co-authors: Xiuxia Cui, Yukari Nagai and Xiaoxiao Liu
Title: A Study on the Elderly House with Supportive Service from the Viewpoint of Creativity
The 15th International Conference on Knowledge, Information and Creativity Support System (KICSS2020) will be held online on November 25-26, 2020 and hosted by D-Agree. The conference aims to facilitate technology and knowledge exchange between international researchers in fields related to knowledge science, information systems, creativity support systems, and complex systems modeling. It will cover a broad range of topics related to knowledge engineering, information technology, creativity support systems, and complex systems modeling.
Invited Talk 1: Dr. Sanparith MarukatatJawad Haqbeen
Sanparith Marukatat will give an invited talk titled "AI in medicine" from 1:00-1:50 PM on November 25, 2020. Dr. Marukatat received his computer science degree in 1998 from University of Franche-Comté, Besançon in France and completed his doctoral thesis at University Paris 6 in 2004. He currently works in the Image Processing and Understanding team at the National Electronics and Computer Technology Center, where his research interests include machine learning, statistical pattern recognition, and AI.
TS5-3: Shohei Watanabe from Akita Prefectural UniversityJawad Haqbeen
Session Chair: Shun Okuhara
Session Theme: Education and Support
Session Number: 5
Paper No: 25
Session and Talk No: TS5-3
Type: Short
Co-authors: Shohei Watanabe and Ryo Sugawara
Title: Consideration of group approaches based on Japanese group principle
TS5-4: Ming Yi from Japan Advanced Institute of Science and TechnologyJawad Haqbeen
Please listen to the presentation, read detailed slides and return to first post to make your comments below the corresponding paper author's post.
Session Chair: Shun Okuhara
Session Theme: Education and Support
Session Number: 5
Paper No: 5
Session and Talk No: TS5-4
Type: Short
Co-authors: Ming Yi, Kecheng Lai and Yukari Nagai
Title: Using Symbol Designs for a Cooking Puzzle Game as Training Material for Error-less Learning for MCI
TS5-5: Gao Wei from Japan Advanced Institute of Science and TechnologyJawad Haqbeen
Please listen to the presentation, read detailed slides and return to first post to make your comments below the corresponding paper author's post.
Session Chair: Shun Okuhara
Session Theme: Education and Support
Session Number: 5
Paper No: 9
Session and Talk No: TS5-5
Type: Short
Co-authors: Gao Wei, Yukari Nagai and Zhang Ruifeng
Title: Influencing Factors and Intervention Strategies of Kindergarten Outdoor Environment on Children's Accidental Injury
TS5-7: Tessai Hayama from Nagaoka University of TechnologyJawad Haqbeen
Please listen to the presentation, read detailed slides and return to first post to make your comments below the corresponding paper author's post.
Session Chair: Shun Okuhara
Session Theme: Education and Support
Session Number: 5
Paper No: 8
Session and Talk No: TS5-7
Type: Full
Co-authors: Tessai Hayama and Shuma Sato
Title: Supporting Concept-Map Creation in Video-Based Learning based on Concept-Map Components Provision
TS5-1: Takashi Sakuma from Chiba Prefectural University of Health SciencesJawad Haqbeen
This document discusses using e-books to revitalize tourism at destinations. It proposes creating e-book guides for specific locations that can be easily updated with timely information and distributed digitally. The plan involves surveying existing e-books, considering how to leverage e-books' strengths for tourism, setting up an e-book creation environment, defining requirements, creating sample e-books, experimenting, and verifying effectiveness through interviews. The document provides details on using the Sigil e-book editor to easily create e-books in EPUB format for distribution. The goal is to engage individuals and local businesses in producing e-book guides to promote tourism.
TS3-3: Naoki Kawamura from Nagoya Institute of TechnologyJawad Haqbeen
1) The document proposes extracting a more specific discussion structure called "Oppose and IBIS structure" from online discussion forums to allow automated facilitation agents to perform more diverse facilitations.
2) This structure adds an "Oppose structure" element to the existing IBIS structure, and can increase the number of potential facilitations from 80 to 107.
3) The authors define a method to extract nodes using a tree structure classifier and restrict link extraction to sentences within 20 distances, achieving better performance than existing methods in experiments on real discussion data.
TS5-2: Ryo Sugawara from Meisei UniversityJawad Haqbeen
Please listen to the presentation, read detailed slides and return to first post to make your comments below the corresponding paper author's post.
Session Chair: Shun Okuhara
Session Theme: Education and Support
Session Number: 5
Paper No: 19
Session and Talk No: TS5-2
Type: Short
Co-authors: Ryo Sugawara, Shun Okuhara and Yoshikazu Sato
Title: Exploratory Study on Correlations between Students’ Characteristics and Effects in the Case of Online Learning on University Students
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
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Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
1. Invited Talks 3, scheduled on 13:00-13:50, November 26, 2020
Professor Takayuki Ito, Kyoto University
Title: D-Agree: Crowd-scale Consensus Support System based on Automated Facilitation Agent
2. Biography:
Professor Takayuki Ito, Kyoto University
From 2005 to 2006, he is a visiting researcher at Harvard University and
MIT Sloan School of Management. From 2008 to 2010, he was a visiting
researcher at the Center for Collective Intelligence, MIT Sloan School of
Management. From 2017 to 2018, he is an invited researcher of Artificial
Intelligence Center of AIST, JAPAN. From March 5, 2019, he is the CTO of
AgreeBit, inc. He was a board member of IFAAMAS, Executive
Committee Member of IEEE Computer Society Technical Committee on
Intelligent Informatics, the PC-chair of AAMAS2013, Local Arrangements
Chair of IJCAI-PRICAI2020, PRIMA2009, General-Chair of PRIMA2014,
and was a SPC/PC member in many top-level conferences (IJCAI,
AAMAS, ECAI, AAAI, etc).
3. Title:
D-Agree: Crowd-scale Consensus Support System based on Automated Facilitation Agent
Abstract:
Large-scale online discussion platforms are receiving great attention as potential next-
generation methods for smart democratic citizen platforms. One of the studies clarified the
critical problem faced by human facilitators caused by the difficulty of facilitating large-scale
online discussions. In this talk, we present our current implementation of D-agree, a crowd-scale
discussion support system based on an automated facilitation agent. We conducted a large-scale
social experiment with Nagoya local government. The results demonstrate that the agent
worked well compared with human facilitators.