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Advancement of Deep Learning Technology Brings Artificial Intelligence to Reality

Google 우선 소스Published2017.11.01 07:23
AI has diverse roles such as helper, protector, and creator.
AI robots will be realized through the advancement of deep learning


Since the emergence of AlphaGo, Artificial Intelligence (AI) has come much closer to us. From IBM Watson’s cancer treatment to AI speakers, AI, which was once thought of only as robots, is being applied in various fields. A venue was arranged to discuss what new changes AI will bring to computing, mobile robots, and the like.

NVIDIA held 'Deep Learning Day 2017' at the InterContinental Seoul COEX on the 31st and presented the history and direction of artificial intelligence. Approximately 1,500 participants from academia and industry interested in AI, autonomous driving, and healthcare attended the event.

"AI can play various roles such as helper, protector, creator, and teacher," said Yoo Eung-joon, CEO of NVIDIA Korea's Enterprise Business Division. "I hope this conference will be a venue to share various use cases."

Professor Jang Byung-tak of the Department of Computer Science at Seoul National University, who attended as a speaker, said, “It has been 60 years since artificial intelligence began. AI, which started with the idea of machines that think and move like humans, has recently overcome a hurdle that was thought to be difficult to solve through AlphaGo,” adding, “If AlphaGo could only think and not move, then robot technology focused on movement, like Google’s Atlas, is also very close.”

He continued, “If the robot’s body is the device, then the mind is software and data.” He explained that the technologies to implement AI robots have been prepared, stating, "Artificial intelligence started as software and is now merging with the body."

He predicted that as we transition into the IoT era, a big data era incomparable to the present will arrive, making data processing difficult with current programming methods. He anticipated that artificial intelligence would be applied to various fields as a new industry, as parallel processing becomes possible through GPUs. Professor Jang emphasized, "To become AI robots or autonomous vehicles, there must be advancements that combine existing AI with deep learning. As technology advances, the impact will be incomparably greater."

Following him, Lee Dong-myeon, Director of the KT Convergence Technology Institute, stated, “There was criticism that generational changes driven by ICT were not influencing global development, but such criticism has been disappearing for the past four to five years,” adding, “This is because we have passed a tipping point due to advancements in computers and memory where algorithms and logic can be manifested.” He conveyed that we have entered an era where the technological revolution of ICT manifests as social results.

This event was held as part of the GPU Technology Conference (GTC) taking place in major cities around the world this year, featuring lectures by experts on five tracks of the greatest interest to domestic industry stakeholders: deep learning, AI city, autonomous vehicles, healthcare, and AI startups.

The 'GTC 2017 World Tour' provides GPU developers worldwide with sessions on the latest technologies in the computing industry, such as artificial intelligence, deep learning, autonomous vehicles, and virtual reality (VR), as well as expert lectures, developer training, hands-on sessions, and various business opportunities. Starting with Beijing, China (September 25–27) last September, it is scheduled to take place in a total of six cities, including Munich, Germany (October 10–12), Tel Aviv, Israel (October 18), Taipei, Taiwan (October 26), Washington D.C., USA (November 1–2), and Tokyo, Japan (December 12–13).
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