April 2018 - Page 8 of 9 - Review Game Mobile Hot

Dialogue Engine Algorithms for Personal Artificial Intelligence (P.A.I.)

In this presentation, we introduce a new paradigm of Artificial Intelligence called Personal Artificial Intelligence (P.A.I.). P.A.I creates a digital clone of the user: it copies all aspects of human personalities including thoughts, behaviors, appearances, and voices. This digital version of the user can act on behalf of the user and can even make decisions as if the user would. We will introduce the overall architecture of the P.A.I. system that we are building at al+ Inc. Moreover, we will explain in details some important components of the core NLP infrastructure of the al+ P.A.I. software, such as the named entity recognition system, the relation extraction system and the dialogue engine.

Dr. Nguyen Tuan Duc – Alt Incorporated (Japan)

Dr. Nguyen Tuan Duc received his BE, MS and PhD degrees in Information Science and Technology from the University of Tokyo. He joined Alt Inc (Japan) from 2016 and is currently the Chief Representative of Alt Vietnam. His research interests include Information Retrieval, Information Extraction, Natural Language Understanding and Dialogue Systems. He is in charge of building the core NLP components of the Personal Artificial Intelligence (P.A.I.) software al+.

Evolutionary Multitasking – A New Paradigm

We are in era where many methods of computational problem-solving methodologies are being developed to address the diverse issues that researchers are intersted. Traditional methods for optimization, including the population-based search algorithms of Evolutionary Computation (EC). Have generally been focused on efficiently solving only a single optimization task at a time. In fact, the variety and volume of incoming information streams that must be absorbed and appropriately processed, the need to multitask are unprecedented. Recently, Multifactorial Optimization (MFO) has been developed to explore the potential for evolutionary multitasking. The pursuit of intelligent systems and algorithms that are capable of efficient multitasking is rapidly gaining importance among contemporary scientists who are faced with the increasing complexity of real-world problems. We introduce the characteristic of population-based search algorithms. Their inherent ability (much like the human mind) to handle multiple optimization tasks at once. Most notably, it shows that multi-tasking allows a person to automatically promote common ground between different optimization tasks, thus providing a significant scope for improvement in problem solving in the real world.

Assoc. Prof. Huynh Thi Thanh Binh – Hanoi University of Science and Technology (Vietnam)

Huynh Thi Thanh Binh is Associate Professor and Vice Dean of the School of Information and Communication Technology (SoICT), Hanoi University of Science and Technology (HUST). She is Head of Modeling, Simulation and Optimization Lab (MSO).
Her current research interests include – Computational Intelligence, Artificial Intelligence, Memetic Computing, Evolutionary Multitasking. She has published more than 80 refereed academic papers/articles, 2 Books; Editor 1 Book. She is Associate Editor of the International Journal of Advances in intelligent Informatics, VNU Journal Computer Science Communication Engineering; Editor Board of Journal of Computer Science and Cybernetics,. She has served as a regular reviewer, a programme committee member of numerous prestigious academic journals and conferences, such as IEEE Transactions on Vehicular Technology, Journal of Information Science and Engineering, IES, SoICT…
She is member of IEEE Computational Intelligence Society – Women in Computational Intelligence Committe (2017, 2018); Chair of IEEE Computational Intelligent Society Vietnam Chapter (IEEE Vietnam CIS). She is member of some committee of IEEE Asia Pacific: Strategic Planning, Membership Development, Humanitarian Technology Activities.

Data science: A key in the digital transformation time

This talk consists of two parts. First to discuss the decision making in a digital economy and a digital society, as well as the relationship between AI and recent ICT breakthrough including data science. Second to illustrate the power of data science through problems and solutions in medicine, transportation, customer relationship, and more.

Prof. Ho Tu Bao – Japan Advanced Institute for Science and Technology (Japan)

Ho Tu Bao graduated (1978) from the Faculty of Mathematics -Physics, Hanoi University of Technology, MA (1984) and Doctor (1987) in Artificial Intelligence at the Universite Paris 6. He has been doing research, application and teaching since then in the fields of Artificial Intelligence (AI), Machine Learning (ML) and Data Mining (DM), and more recently in Data Science (DS). He has been professors and emeritus professor of Japan Advanced Institute of Science and Technology (JAIST) since 7.1993. From 4.2018, he is Professor of John von Neumann Institute of VNUHCM and Head of Data Science Lab of the Vietnam Institute for Advanced Study in Mathematics (VIASM). He is members of the Steering Committee of PRICAI (Pacific Rim International Conference on Artificial Intelligence), PAKDD (Pacific Asia Knowledge Discovery and Data Mining, Chair 2014-2017), ACML (Asia Conference on Machine Learning, Co-chair 2013) -2016). http://www.jaist.ac.jp/~bao

ARTIFICIAL INTELLIGENCE For Life 2018 TALK LIST

The 2018 Vietnam joint Conference on Artificial Intelligence for Life (AI4Life-2018) is an international forum for practitioners and researchers among Acedemia, Industry, and Government to present novel research results in Artificial Intelligence, to communicate and exchange innovative ideas, as well as to discuss potential applications. The conference aims to raise the public awareness on the recent advances and emergence of Artificial Intelligence in every aspect of our life.

(09–11 May 2018: VNU University of Engineering and Technology – 144 Xuan Thuy, Cau Giay, Hanoi, Vietnam)

TUTORIALS

Deep Learning for Natural Language Processing and Beyond – Assoc. Prof. Nguyen Le Minh (Japan Advanced Institute for Science and Technology, Japan)

AI and data in cancer research – Dr. Pham Viet Thang (VU University Medical Center, Netherland)

Pattern recognition: feature engineering and (deep) feature learning – Assoc. Prof. Nguyen Duc Dung (Institute of Information Technology)

From ML Algorithms to ML Systems – Kenneth Tran (Microsoft Research, USA)

POLICY AND STRATEGY FOR DEVELOPMENT AND SOCIAL ISSUES

Fostering the communities of robotics and AI in Vietnam and in International – Dr. Vu Duy Thuc (Ohmilabs, USA)

AI2’s startup incubator: progress and directions – Dr. Ha Vu (Allen Institute for AI, USA)

Virtual and Augmented Reality: Applications and Issues in a Smart City context – Assoc. Prof. Perry Stuart (University of Technology Sydney, Australia)

Implementation of AI Platforms to create competitive advantages for enterprises – Dr. Le Hong Viet (FPT Corporation, Vietnam)

An application of Deep learning in smart city traffic management – Assoc. Prof. Pham Hong Quang (Vietnam Academy of Science and Technology, Vietnam)

AI in smart city infrastructure management – Prof. Nguyen Kim Khoa (University of Québec, Canada)

AI in Healthcare – Opportunities for Vietnam – Dr. Tran Dang Minh Tri (Harrison-AI, Australia)

Applied AI for predicting the quality of irrigation services in the Red river delta – Dr. Nguyen Thanh Tung (ThuyLoi University, Vietnam)

APPLICATIONS AND PRODUCTS

Data science: A key in the digital transformation time – Prof. Ho Tu Bao (Japan Advanced Institute for Science and Technology, Japan)

AI Strategy and Implementation on Got It’s Knowledge as a Service Platform – Dr. Hung Tran (Got it, USA)

Applied machine learning for decision making in real-life problems – Dr. Le Sy Quang (Google, UK)

ML&AI Approach to User Understanding Ecosystem at VCCorp: Applications to News, Ads, and E-commerce – Dr. Hoang Anh Tuan (VCCORP, Vietnam)

Application of artificial intelligence techniques in building economic-financial forecast models on high dimensional data sets – Assoc. Prof. Do Van Thanh (Nguyen Tat Thanh University, Vietnam)

Operations research: from theory to applications in Vietnam – Dr. Ha Minh Hoang (Vietnam National University, Vietnam)

Developing Intelligent Systems based on Internet of Things: Some preliminary results – Assoc. Prof. Le Hoang Son (VNU, Vietnam)

Cognitive Banking – Mr. Nguyen Manh Khang (IBM, Vietnam)

AI in Electro-Optical/Infrared camera surveillance systems – Dr. Dao Duc Minh (Viettel R&D, Vietnam)

Social graph analysis for verification and fill out users’ information – Mr. Le Minh (Five9, Vietnam)

BASIC RESEARCH

Structured prediction for the summarisation and alignment of videos – Prof. Massimo Piccardi (University of Technology Sydney, Australia)

From Human Machine Interaction to Human Machine Intelligence – Assoc. Prof. Le Thanh Ha (Vietnam National University, Vietnam)

How to Make Chatbots Smarter: Computational Semantics Beyond Events and Roles – Dr. Le Hong Phuong (Vietnam National University, Vietnam)

Analyzing Daily Activity Logs for Smart Interaction – Assoc. Prof. Tran Minh Triet (Vietnam National University Ho Chi Minh City, Vietnam)

Reinforcement learning for mobile robots – Dr. Nguyen Do Van (Vietnam National University, Vietnam)

20 years of Vietnamese Spoken Language Processing: Research & Achievements – Assoc. Prof. Vu Hai Quan (VNUHCM University of Science, Vietnam)

General Game Playing: a Challenge for AI – Assoc. Prof. Sylvain Lagrue (University of Artois, France)

Answer set programming and its Applications – Prof. Tran Cao Son (New Mexico State University, USA)

Evolutionary computation and its roles in AI – Assoc. Prof. Bui Thu Lam (Le Quy Don University, Vietnam)

AI in 5G networks – Prof. Do Van Tien (Budapest University Of Technology And Economics, Hungary)

A New Paradigm – Assoc. Prof. Huynh Thanh Binh (Hanoi University of Science and Technology, Vietnam) – Evolutionary Multitasking

Performance Improvement of Industrial Motor Drives using Artificial-Intelligence based Control Techniques – Prof. Ta Cao Minh (Hanoi University of Science and Technology, Vietnam)

Dialogue Engine Algorithms for Personal Artificial Intelligence (P.A.I.) – Dr. Nguyen Tuan Duc (Alt, Vietnam)

Hội nghị Trí tuệ nhân tạo cho cuộc sống

Năm 2018 tại Việt Nam, hội nghị về Trí tuệ nhân tạo dành cho cuộc sống (AI4Life-2018) là diễn đàn quốc tế dành cho các học viên, nhà nghiên cứu thuộc các cơ quan chính phủ, doanh nghiệp và viện hàn lâm để giao tiếp, trao đổi ý kiến, thảo luận về các ứng dụng tiềm năng – đưa ra các kết quả nghiên cứu về trí tuệ nhân tạo. Hội nghị sẽ nâng cao các nhận thức của công chúng và các tổ chức về những tiến bộ, ứng dụng và các khuyến cáo gần đây cũng như sự xuất hiện của Trí tuệ nhân tạo (AI) trong mọi khí cạnh của cuộc sống.

Hội nghị được tổ chức từ 09-11/05/2018 Tại Đại học công nghệ – Đại học Quốc gia Hà Nội – 144 Xuân Thủy – Cầu Giấy – Hà Nội

Danh sách các chủ đề

1. Các bài hướng dẫn

* Nguyen Le Minh (Japan Advanced Institute for Science and Technology, Japan): Học sâu về Xử lý ngôn ngữ tự nhiên và hơn thế nữa (Deep Learning for Natural Language Processing and Beyond)

* Pham Viet Thang(VU University Medical Center, Netherland): Trí tuệ nhân tạo và dữ liệu trong nghiên cứu ung thư (AI and data in cancer research)

* Nguyen Duc Dung (Institute of Information Technology): Nhận dạng mẫu: tính năng kỹ thuật và tính năng học sâu(Pattern recognition: feature engineering and (deep) feature learning)

* Kenneth Tran (Microsoft Research, USA): Từ các thuật toán học máy đến các hệ thống học máy (From ML Algorithms to ML Systems)

2. Chiến lược và chính sách về các vấn đề phát triển và xã hội

* Vu Duy Thuc (Ohmilabs, USA): Khuyến khích cộng đồng robot và AI tại Việt Nam và quốc tế (Fostering the communities of robotics and AI in Vietnam and in International)

* Ha Vu (Allen Institute for AI, USA): Vườn ươm khởi nghiệp AI2’s: tiến độ và hướng dẫn (AI2’s startup incubator: progress and directions)

* Perry Stuart (University of Technology Sydney, Australia): (Virtual and Augmented Reality: Applications and Issues in a Smart City context)

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