The Samsung AI Forum is an annual occasion that brings collectively globally famend specialists within the business in addition to throughout academia to function a platform with which to disseminate the very newest in AI developments, applied sciences and analysis.
This 12 months’s AI Forum, the fourth of its sort, is being held over two days this November 2 and three. The first day of the occasion, hosted by the Samsung Advanced Institute of Technology (SAIT), Samsung’s R&D hub devoted to cutting-edge future applied sciences, is enabling individuals to facilitate discussions round find out how to make the perfect use of AI applied sciences in a method that may profit our each day lives in a quickly altering world, significantly throughout the context of the unprecedented conditions which have arisen not too long ago as a result of international pandemic.
AI Forum Day 1: The Past, Present and Future of AI
On November 2, Dr. Kinam Kim, Vice Chairman & CEO of Device Solutions at Samsung Electronics, commemorated the beginning of the primary day of the AI Forum 2020 by delivering a gap speech that highlighted how AI applied sciences have proven exceptional progress through the years. He went on to notice that, given these modifications, many predict AI to deal with the problems introduced on by the current pandemic, however highlighted that since AI bases its fashions on huge quantities of real-life information and simulations, the duty of modeling the present pandemic and different pure disasters with AI was a frightening one.
Dr. Kim went on to offer his personal views on the methods during which AI applied sciences can transfer ahead and be harnessed to have significant impression on actual world issues, and in addition highlighted that Samsung Electronics, as a serious supplier of core applied sciences within the AI ecosystem, is proactively co-operating with international researchers to hunt options to such actual world issues. Dr. Kim ended his opening speech with the expectation that significant discussions on the current and way forward for AI applied sciences and their profit for humanity have been set to happen throughout this 12 months’s Forum.
Recognizing Leading Talent within the Field
At this 12 months’s AI Forum, Samsung launched their inaugural Samsung AI Researcher of the Year awards with the view to establish distinguished rising researchers within the subject from all over the world and to help their analysis actions.
This 12 months’s Samsung AI Research of the Year awards went to Professor Kyunghyun Cho of New York University, Professor Chelsea Finn of Stanford University, Professor Seth Flaxman of Imperial College London, Professor Jiajun Wu of Stanford University and Professor Cho-Jui Hsieh of UCLA.
Professor Kyunghyun Cho, a globally acknowledged researcher in pure language processing, has been publishing a constant stream of acclaimed papers throughout the medication, biology and optimization disciplines. “I am honored to have received a Samsung AI Researcher of the Year award and am committed to developing AI-focused research further down the road,” mentioned Professor Cho of the popularity.
Expert Highlights: Keynote Speeches
Professor Yoshua Bengio, who served as this 12 months’s co-chair and was chosen as Samsung AI Professor of the Year, gave a presentation titled Towards Discovering Casual Representations. In his lecture, Professor Bengio defined that, up till now, typical deep studying applied sciences have been counting on inference to acknowledge sensual info and be taught from it, however AI applied sciences which are as a substitute able to studying the causality between hidden variables earlier than drawing conclusions might be able to making inferences simply as people do, and therefore would be capable of reply to unprogrammed conditions. With visions of such a sort of AI in thoughts, Professor Bengio shared the preliminary outcomes of his analysis and recommended how, primarily based on this, AI applied sciences could make steps ahead.
Professor Yann LeCun of New York University, a researcher who pioneered the Convolutional Neural Network…
