- Purpose of Establishment
- Greeting from the Chairman
- About the association
- Organization structure
- Membership information
Purpose of establishment
JDLA is a non-profit organization, aiming to promote Deep Learning technology as a driving force for Japanese industries to gain competitiveness in the global stage.
Therefore, industries that utilizes deep-learning technology and experts gather to promote usage of this technology in industries, human resource development, advises public organizations and industries, international collaboration and public speaking to ensure healthy development.
Message from the Chairman
Deep Learning Association was established with a motive to promote competitiveness among Japan’s industries. It is formed by enterprises that utilizes Deep Learning Technology in their businesses.
The rapid advancement in Deep Learning Technology in 2012, boosted performances in technologies like image recognition and sound recognition. Machines are able to “see” different situations and it compatibles with the manufacturing industry. We are able to solve the problems caused by the declining in population and it is a big opportunity for Japan. Many other countries are also quick in adapting with this new technology. If we want to be competitive on the global stage, I think we have to be quick in expanding this new [Deep Learning Industry].
In order to achieve this, we have to develop new talent. Not only we have to scout for talents that has deep learning knowledge, we also need talents that understands the possibilities and limitations of the technology to fully utilize this to solve real world problems. Deep Learning is not omnipotent.
There are many types of data that is being used in this field. Some data is best used for Machine Learning and some is best used for Deep Learning.
A person that can fully understands Artificial Intelligence, Machine Learning and Deep Learning in an organization is a very important factor in promoting the advancement of this technology in this industry. At the same time, talents that are able to develop softwares that uses Deep Learning are largely insufficient. I hope for engineers, researches and students from various fields to be able to learn this new skill.
There is no good or bad in Artificial Intelligence, its characteristics is derived from [There is no definition of Artificial Intelligence]. Due to the low tolerance of implementing this technology, anything and everything can be called artificial intelligence. There is also a possibility of over expectation. That is why in this field it is very important to have a certain level or knowledge and skill. This association’s first and most important activity is to carry out tests. User companies and engineers are required to have a certain degree of knowledge in other to carry out practical discussions or develop businesses.
Moreover, in order for the [product of the learning results] to be widely used by society, there is a need for legal systems, privacy laws, moral ethics to be discussed. This is where the association can also organize discussions or events that include the country’s representatives and companies or societies that provide deep learning services.
Before the time of establishment, companies that are involved in deep learning and startups gathered and discussed for a year about establishing this association. The motive of establishment is to promote competitiveness among industries and to expand companies that are developing deep learning technologies. Although deep learning is now only seen as a machine learning technique, it is a technology full of possibilities. It plays a very important role in the advancement of artificial intelligence. I hope that many companies, experts, engineers and researches agree with our activities and we look forward for your active participation in our association.
Japan Deep Learning Association
Chairman
Association Outline
| Japanese Name | 一般社団法人 日本ディープラーニング協会 |
|---|---|
| English Name | Japan Deep Learning Association （JDLA） |
| Chairman | Yutaka Matsuo University of Tokyo Professor |
| Board of Directors | Takeshi Izaki Director of Enterprise Division, NVIDIA Arisa Ema Project Assistant Professor, The University of Tokyo Yousuke Okada CEO, ABEJA Takayuki Okatani Professor, Tohoku University Tetsuya Ogata Professor, Waseda University Takayoshi Kawakami CEO, IGPI BAI Takafumi Kusano CEO, Brainpad Akira Sato CEO, connectome.design Mitsunori Nanno CTO, FiNC Technologies Ryutaro Okada Chief Administration Officer, JDLA |
| Special Advisors | Yoshimitsu Kobayashi Chairman, Mitsubishi Chemical Holdings Hiroshi Komiyama Former President of University of Tokyo Masahiro Sakane Adviser, Komatsu Yasuchika Hasegawa Former President of Takada Pharmaceutical Nobuchika Mori Former Commissioner of Financial Services Agency |
| Auditor | Eiji Watanabe Watanabe Accounting Office |
| Chief Administration Officer | Ryutaro Okada |
| Date of Establishement | 1st June 2017 |
| Location | Sumitomo Real Estate Tower 9F, 1 Chome-1 Shibakoen, Minato City, Tokyo 105-0011 |
| URL | www.jdla.org |
| Media Partners | AINOW （http://ainow.ai/） AI-SCHOLAR （https://ai-scholar.tech/） Ledge.ai （https://ledge.ai/） |
Organization Structure
Membership Information
Board of Directors
The Board of Directors consists of the chairman, council, auditor and special advisors.
Committee
Business Acceleration Committee
In order to accelerate businesses using deep learning, we collect real-life applications of deep learning and learn from it, organize symposiums and publish books.
Public Affairs Committee
This committee conducts public speaking, international collaboration about implementing deep learning in the society. We also collaborate with different bodies and give information to the society.
Human Resource Development Committee
To ensure the skillsets of application of deep learning, this body plans and executes the JDLA exam. This includes preparation of exam questions, editing and execution of the examination.