Panel: Future of Computer Vision: Trends and Integration of Computer Vision With Other AI Technologies
Event: SCBX Unlocking AI EP4, Computer Vision: How AI See Things Like We Do
Collaboration: SCBX and Insiderly.ai
Venue: SCBX NextTech, Siam Paragon, 4th Floor
Panelists:
ดร.สรรพฤทธิ์ มฤคทัต Senior Researcher, NECTEC
คุณศิวดล มาตยากูร, Co-Founder, Cariva
Dr. Piyarit Piyarit Ittichaiwong, CEO & Co-Founder, PreceptorAI
ดร. กอบกฤตย์ วิริยะยุทธกร, President, AIEAT
Presenter: Mr. Worawisut Piñoyang, Founder, insiderly.ai
It is not often that there is a discussion on the topic of Computer Vision in Thailand, so when SCBX UNLOCKING AI: EP4 Computer Vision: How AI See Things Like We Do, it was able to bring together knowledgeable and talented speakers such as Dr. Samprit Maruktat, Senior Researcher, NECTEC, Mr. Siudol Matayakur, Co-Founder, Cariva, Dr. Piyarit Ittichaiwong, CEO & Co-Founder, PreceptorAI, and Mr. Kobkrit Wiriyayuthakorn, President, AIEAT to be on the same stage. Rest assured that the content must be absolutely extraordinary.
For the topic that each speaker exchanged opinions on this time on Future of Computer Vision: Trends and Integration of Computer Vision With Other AI Technologies and moderated by Mr. Worawisut Piñoyang, Founder, insiderly.ai
What are the main topics, you can follow them in this article.
Computer Vision: Technology Helps Study the Past, Change the World
The first point that the speaker discussed was the benefits of Computer Vision technology. Explain that this is a technology that will help you understand more about many sciences. Whether it is science work, space exploration work, or historical work, including the study of the use of language in the past and the study of the use of language of all things in nature.
The knowledge of this latter story has been studied by many interesting people, such as understanding how bees communicate with each other in the hive, helping to understand more about nature, and more wisdom as a result.
Meanwhile, Dr. Piyarit added that Computer Vision works like our eyes and helps us understand the images we can't see clearly. Complicated and redundant tasks such as paperwork can be completed many times faster than before. More time than ever before to work and create new innovations.
Computer Vision, technology to help improve medicine.
This is a continuation of the previous two lectures on the use of computer vision in medicine. It shows that there are always new innovations ready to happen. One of them is technology that allows visually impaired people to see more clearly.
Dr. Sampharit gave an example of going back about 6-7 years ago. Someone once opened a company to make Google Glass glasses that help blind people know if the lights in the room are on. Are the shirts and pants you wear each day compatible?
Dr. Piyarit added that there is currently an application called Be My Eyes that helps visually impaired people see still images in front of them more clearly. With audio commentary, which can help users see the world more brightly. They can live close to normal people, but imagine if in the future this technology evolves to the next level. How spectacular will it be?
"In the past, it was difficult to say that technology was difficult to tell whether the object in front of us was a dog or a cat, but with the continuous development of research in Image Captioning, it has helped to develop this field of education tremendously, but there are still many challenges ahead, such as if it is developed into video and animation work, how to make the explanation look cool, and which must be followed by subtitles in different languages."
Although technology can help patients diagnose their own diseases, the world still needs doctors.
It is said that artificial intelligence AI will cause more people to lose their jobs.
The question that is worth thinking about is, will people who are doctors have a chance of losing their jobs? If technology has advanced far to the point where patients can diagnose diseases on their own. Without relying on real expert opinions.
Dr. Samprit thinks that there is a certain chance that patients will be able to take care of themselves without relying on doctors. If it is a non-serious disease or illness, most of the symptoms if it is not emergency. When treating a patient, the doctor will not only look at the X-ray images and give medicine, but must also take a history and rely on sufficient information on images, sounds, and letters to analyze.
Mr. Siudol believes that if one day there is something that can really make a diagnosis on his own, it will be a good thing because it should help ease the burden on the doctor to some extent, or on the other hand, it will help the doctor to screen the patient initially who should receive urgent treatment. This makes patients know how to take care of themselves and those around them more and not let the symptoms get too bad to help.
Every birth of great technology has obstacles in the way.
To develop cutting-edge technology to succeed in each of them, including Computer Vision. It takes many factors to drive it, from time, funding, to enough information to research more information. If one thing is missing, it can make a good idea. Useful innovations cannot be made.
In the opinion of Dr. Kobkrit believes that everything has its cycle, but for technology like Computer Vision, it has overcome obstacles and is in a period of increasing growth, especially in the past 5 years because of new innovations every day. It helps to modify each part of the functionality to become more and more accurate. Even many things cannot be fully applied in daily life. But many things can already be used and we should see countless good things happen in the near future.
Meanwhile, Mr. Siudol sees that there are two major obstacles to Computer Vision:
1. It cannot be used in real life. Because they do not have access to sufficient information, such as in the medical field. Without patient information, It will also be more difficult to develop technology that can save lives.
2. There are real cases with little business usefulness: The Co-Founder from Cariva sees startups with good ideas, but only a few ideas can generate revenue for the organization. Even if there is a huge creativity to use AI to improve the quality of life, if it cannot generate money to make gold, no one will continue to use it.
In Dr. Piyarit's opinion, many people may think that not having knowledge of programming is important, but in fact, the bigger obstacle is the lack of knowledge of English. Just by understanding English, you will be able to command AI and access a wider body of knowledge many times more than before.
Therefore, we must eliminate the fear of language and dare to take advantage of it, and there will be many ways to go forward.
A challenging future that is not easy for anyone to predict.
In a world where technology is advancing rapidly. In just one year, many things have changed so much that they can't keep up, but if all the speakers try to predict what the future will be, each of them gives quite interesting opinions.
Starting from Dr. Samprit, he sees that a year ago, there were many technologies that no one had used before. It may be very difficult to predict what the next year will be, but I believe that the competition for the Large Language Model (LLM) will be even fiercer. When all camps try to make it as easy to use as possible, will that be the case? It remains to be seen.
Mr. Kobkrit added that one of the technologies that no one used in 2022 but is very widespread this year is generative AI, and no one expected it to be so popular.
CEO & Co-Founder, PreceptorAI believes that AI can save a lot of lives. Since patients have to wait in line for MRI for at least 2 weeks to be diagnosed, having these things to stimulate will have a very positive impact on future growth, and AI will help to make more money. In a faster time. Therefore, if we do not quickly adapt or do more than what AI can do now, in the next few years, the risk of losing our jobs or being swallowed up will be many times greater.
Meanwhile, Mr. Siudol believes that there will soon be widespread adoption or that everyone will be able to use AI more efficiently because it is easier to work and help people feel more good about it. From never wanting to use it, not daring to use it, I will dare to try it more.
"We have to learn to live with AI, whether it's programming, taking notes, or making reports, but the most important thing is creativity. What has never been done in the past. If you can, Humans will be ahead of AI, but if not, we will be replaced by AI and people who are good at using AI," Mr. Sivadol concluded.
