Vice Chairman Kim Ki-nam: "We Must Find Ways for AI to Help Life"... Samsung Holds AI Forum

Kim Ki-nam, Vice Chairman and Head of Samsung Electronics DS Division, is delivering the opening address at the 'Samsung AI Forum 2020' held on the 2nd.

Kim Ki-nam, Vice Chairman and Head of Samsung Electronics DS Division, is delivering the opening address at the 'Samsung AI Forum 2020' held on the 2nd.

[Asia Economy Reporter Ki-min Lee] "Recently, artificial intelligence (AI) technology has been rapidly applied to people's lives, bringing positive impacts, but challenges that require massive amounts of data, such as pandemics and natural disasters, remain difficult to solve with current AI algorithms and hardware."

Kim Ki-nam, Vice Chairman and Head of Samsung Electronics' Device Solutions (DS) Division, pointed out the current limitations of AI technology and suggested the direction to move forward during the opening remarks of the 'Samsung AI Forum 2020,' held online by Samsung Electronics on the 2nd.

Vice Chairman Kim emphasized Samsung Electronics' role by stating, "As a core technology company in the AI ecosystem, Samsung Electronics is actively collaborating with researchers worldwide to address these issues and find the right solutions."

He also said, "Through this forum, we expect to gain inspiration for solving the problems we face together with distinguished researchers from academia and industry, and to have meaningful discussions about the present and future of AI technology that benefits humanity."

Now in its fourth year, the Samsung AI Forum is held over two days from the 2nd to the 3rd. The forum features world-renowned AI experts sharing the latest technological trends and research achievements, exploring ways AI technology can assist human life, which is rapidly changing due to the recent COVID-19 pandemic and other factors.

The first day is hosted by Samsung Electronics' Advanced Institute of Technology, and the second day by Samsung Research. The AI forum was broadcast live on Samsung Electronics' YouTube channel, providing researchers and students worldwide the opportunity to interact in real-time with leading scholars through Q&A sessions.

Samsung Electronics announced the recipients of the newly established 'Samsung AI Researcher of the Year' award, created this year to discover outstanding young global researchers in the AI field. The awardees are ▲ Professor Kyunghyun Cho of New York University, USA ▲ Professor Chelsea Finn of Stanford University, USA ▲ Professor Seth Flaxman of Imperial College London, UK ▲ Professor Jiajun Wu of Stanford University ▲ Professor Cho-Jui Hsieh of the University of California, Los Angeles (UCLA), USA.

Professor Kyunghyun Cho expressed, "I am pleased that Samsung is leading the way in awarding meaningful honors to young researchers in AI," adding, "This award motivates me to further dedicate myself to AI research." Professor Cho is a leading researcher in Natural Language Processing and has published numerous notable papers in various fields including medical and bioinformatics.

Yoshua Bengio, Professor at the University of Montreal in Canada, co-chair of the 'Samsung AI Forum' and this year's 'Samsung AI Professor,' delivered a lecture titled 'Towards Discovering Causal Representations.' Professor Bengio presented the direction for AI technology development that can handle untrained situations and introduced initial research results.

Yann LeCun, Professor at New York University and pioneer of the widely used 'Convolutional Neural Network' in image recognition, presented the latest models related to 'Self-Supervised Learning.' Self-supervised learning is a method where the system creates its own problems and finds answers within the data, and has been applied to large-scale language models that generate human-level sentences.

Following this, Professor Chelsea Finn of Stanford University presented on 'Few-Shot Adaptation to Uncovering Symmetries,' and Ham Don-hee, Fellow at Samsung Electronics' Advanced Institute of Technology, presented on 'Reconstruction of the Brain.'

Dr. Tara Sainath from Google Research introduced the latest research on 'End to End Models for Speech Recognition,' and Dr. Jennifer Wortman Vaughan from Microsoft Research gave a lecture on 'Intelligibility Throughout the Machine Learning Life Cycle,' among other presentations by distinguished speakers.

This content was produced with the assistance of AI translation services.