Division of Information Science, NAIST
Summer Seminar (online)
Aug. 19-21, 2020
Summer Seminar 2020 will be held online, on August 19-21. You can experience the cutting-edge research on Information Science during this Summer Seminar.
We are looking forward to your application!
Date |
Aug. 19 - 21, 2020, or Aug. 20 - 21, 2020 (Depend on the topics) |
Venue |
Online (you can stay at home and connect to the online system designated by the theme lecturers) |
Intended audience |
Education higher than undergraduate including non-academic applicants who are planning to become IS students.
If you are not a candidate, please apply the Lab tour |
Capacity |
Depends on each theme (please check the table below).
If the number of applicants exceeds the capacity, a selection process will be done by the corresponding laboratory.
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Admission fee |
FREE! However, you will be responsible for setting up your computer environment to connect to the online system, and the internet fee. |
Application form |
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Contact us |
Summer Seminar Committee
ss2008[at]is.naist.jp |
- 2020/6/12 Website is opened
- Aug. 19 Wed. (only for 3 day courses)
09:30 - 17:00 Seminar (online)
- Aug. 20 Thu.
09:30 - 10:00 welcome speech & Introduction (online)
10:00 - 17:00 Seminar (online)
- Aug. 21 Fri.
09:30 - 17:00 Seminar (online)
- 1. The history and the future of AI hardware
Laboratory: |
Computing Architecture |
Summary: |
In this summer school, you can discuss on the history of AI hardware and the limitations of semiconductor technology. And also some forecasting on the future of AI hardware will be provided. |
Date: |
2 days |
Capacity: |
10 |
Qualification: |
Nonce |
Document: |
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- 2. Lets Hack Bitcoin's Technology
Laboratory: |
Computing Architecture |
Summary: |
Do you know the technology that makes the success of cryptocurrency systems (Bitcoin, Ripple, Ethereum, etc.)? The answer is blockchain! After this seminar, you will understand the mystery of distributed networks such as Bitcoin. You will also know how Blochchain is applied to develop Super Smart Society 5.0. |
Date: |
2 days |
Capacity: |
10 |
Qualification: |
Be active in making comments/question. This seminar will be conducted in English, so you should be able to understand English lecture. The Q&A can be in English or Japanese |
Document: |
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- 3.
- 4. Smart Decision making by Artificial Intelligence
Laboratory: |
Intelligent System Control Laboratory |
Summary: |
Decision making is an important factor in artificial intelligence (AI), and various technologies exist for realizing a smart society. In this seminar, you will learn the optimization algorithm, which is one of the smart decision making methodologies, and solve so called "diet problem". |
Date: |
2 days |
Capacity: |
4 |
Qualification: |
Programming experience in Python. |
Document: |
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- 5. Algorithm design toward many low-functional robots
Laboratory: |
Dependable System Laboratory |
Summary: |
Most existing systems, such as the Internet, clouds, and IoTs, are distributed systems, which consist of many computers that can communicate with each other. In this seminar, we will learn algorithms for distributed systems by simulating cooperation of many low-functional robots. |
Date: |
2 days |
Capacity: |
3 |
Qualification: |
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Document: |
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- 6.
- 7.
- 8. Using machine learning for packet analysis and cyber attack detection
Laboratory: |
Software Design and Analysis |
Summary: |
In this seminar, we will analyze a large amount of network packet datasets using machine learning models. We develop programs to detect cyber attacks using the machine learning models and evaluate the programs. |
Date: |
2 days |
Capacity: |
3 |
Qualification: |
Experience in Python is preferred |
Document: |
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- 9. Study session with laboratory for cyber resilience
Laboratory: |
Laboratory for Cyber Resilience |
Summary: |
We will have a study session for cybersecurity technologies such as homomorphic Encryption, differential privacy, garbled circuit, etc. |
Date: |
2 days |
Capacity: |
10 |
Qualification: |
Active commitment |
Document: |
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- 10. AR/VR research discussion for first time students
- 11. Let's Hack Vehicles!
- 12.
- 13.
- 14. Introduction to the difficulty of realizing a neuromorphic computer
Laboratory: |
Dependable System Laboratory |
Summary: |
Memristor is one of the most expected material to realize the next-generation neuromorphic computer, which can calculate large scale product-sum operation of neural network with one step. On the other hand, since the characteristics of memristors greatly and individually vary due to the immature fabrication, designing a brain-type computer with high generalization performance is a very challenging task. In this seminar, we will confirm the deterioration of neural network generalization performance caused by the process variation through circuit simulation and learn the basic concept of this solution. |
Date: |
2 days |
Capacity: |
2 |
Qualification: |
Programming experience in Python |
Document: |
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