Exclusive Talk with Tae-hoon Koo, Venture Capitalist / Machine Learning Researcher

Kurt (Tae-hoon Koo),: Venture Capitalist and Machine Learning / Reinforcement Learning researcher, majored in computer science.

Asif: The industry is seeing a rising importance of Machine learning and Blockchain. How do you see these emerging technologies impact the business sector?

Kurt (Tae-hoon Koo): After all, both Blockchain and Machine Learning are technologies that handle data. Given the fast-growing volume of information, I anticipate that the value of data will continue to increase in the future, and believe both technologies will have greater influence as well.
For the Blockchain, the current data monopoly and resale business will be changed in the way that the values and rights of the data are rewarded to the original owner. Data such as medical data can be only collected from each individual, not generated like entertainment contents.
Machine Learning is expected to have the biggest impact in the future as it can not only predict and categorize but even also generate data. However, since Machine Learning is more likely integrate with existing industries rather than have business value independently, the business sector that can easily adopt this technology will be accomplish faster growth. The more difficult it is to bring in Machine Learning, the more traditional it may remain to rely on people, which may lead to redefinition of the value and expertise of the business sector. The difficulty of introducing technology and the expertise of traditional meaning do not always match, new areas of the business that are being redefined may emerge.

Asif:  Please tell us about your vision for Synergy Partners and School of AI?

Kurt (Tae-hoon Koo): Synergy Partners is a venture capital. With another huge wave that will revolutionize the world, I think there will be more opportunities as an investor if I can find stage start-up that can take advantage of it in business.
The school of AI ! it is really fantastic. I would like to thank Siraj Raval for giving me the opportunity to contribute even small amounts as Dean in that everyone in the world has the opportunity to receive the best education for free.
It will focus on future education as well as research to provide practical solutions for real problems. If the world can contribute to the development of mankind by studying and solving problems together, Isn’t that cool? I think there is nothing more valuable in my life.

Asif:  Many people believe that Artificial Intelligence could bring the apocalypse, what are your views?

Kurt (Tae-hoon Koo): AI is a tool and a technology. A knife made for cooking can also be used as a weapon to attack a person, so how to use it can be important. The presence of anxiety and concern means that AI can become such an influential tool. However, in case of reinforcement learning, I think more care is needed in that the agent learns the feedback against the environment on its own.

Asif: What advice would you give to Startups who want to create AI based platforms?

Kurt (Tae-hoon Koo): Too absorbed in research, It can be out of touch with reality. Since start-up is also a company, you should pay attention to the business aspect of increasing sales and revenues unless you have set specific goals such as m&a.
As the world is changing rapidly, many pain points that have not been solved in the past can be solved by using AI technology.
Stay ready to catch it quickly. AI and Biotech can be good combination. For essential problems such as life and health, there have been many advances, but still many unresolved problems. I think that business chance naturally follows if you focus on bigger problems without obsessing too much about small problems that have been already solved without AI.

Asif:  What advice would you give to students when starting their journey in AI?

Kurt (Tae-hoon Koo): Of course, I recommend that Siraj Raval’s youtube channel and the School of AI in each region. If you are to start AI journey, “Learn Machine Learning in 3 Months (with curriculum)” on Siraj’s youtube can be good start point.
To keep up with the latest AI technology, the ability to understand recent papers is important and requires mathematics.
To catch up with the state-of-the-art AI technology, the ability to understand recent papers is important and it requires mathematics. I hope that you can decide whether to include math study based on how seriously you are. It is also important to understand the difference between deep learning and reinforcement learning, anyway you may study everything in the end. It will also be helpful to participate in contests held in OpenAI, Kaggle, and NeurIPS to code for yourself. It is more effective to study together rather than alone. Reach out to your regional School of AI Dean and keep informed with Facebook and Twitter.


Asif:  Which books/podcasts/papers have influenced your thoughts the most?

Kurt (Tae-hoon Koo): It’s Richard Sutton. Thanks to his books, I started reinforcement learning first. Not to mention Siraj Raval. I also like John Schulman and his beutiful paper of PPO that developed the policy gradient. The Retro Sonic Contest in May was the most interesting one this year. To compete in the contest rankings, I have to understand many state-of-the-art papers and implement it in a short period of time. I was up to 10th place in the highest ranking once, but the final result was 27th, which leaves some regret.

Asif:  What are your views about MarkTechPost?

Kurt (Tae-hoon Koo): MarkTechPost covers a variety of technologies, but is particularly interested in AI and especially healthcare. Asif Razzaq is operating with great insight and passion, I’m making it my favorites, and constantly visiting to get information. Thank you for providing an interesting interview opportunity.

Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.

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