Samsung Electronics is dedicated to main developments within the area of synthetic intelligence (AI), with the hopes of ushering in a brighter future. To focus on what the long run might maintain for AI expertise, and to handle and overcome the technological challenges that researchers are at the moment going through, the corporate just lately hosted its third annual Samsung AI Forum.
Held from November 4–5 in Seoul, this yr’s discussion board featured famend AI specialists from all over the world, who provided intriguing concepts for addressing among the most urgent challenges going through AI analysis at present.
Predicting the Next Big Trends in AI
(From left) Profs. Yoshua Bengio, Kyunghyun Cho, Noah Smith and Abhinav Gupta
Modern AI expertise is just not solely able to analyzing knowledge with algorithms, it’s additionally making strides towards attaining human-like cognition. With will increase in computing energy and advances in deep studying, AI expertise is trying to research knowledge by itself, and studying to establish essentially the most applicable response for a given scenario or context. The utility of huge knowledge in deep studying is accelerating this pattern.
While current developments have confirmed promising, the audio system at this yr’s AI discussion board agreed that sure technological challenges stay unaddressed. Prof. Kyunghyun Cho of New York University put the expertise’s present standing in easy phrases. “Imagine a hypothetical AI agent equipped with the current technology,” stated Prof. Cho. “It has barely opened its eyes so that it can see and detect objects; it has barely opened its ears to listen to people and hear what they are saying; it has barely opened its mouth to speak short utterances; it is barely learning to move its limbs. In other words, we have just taken a tiny step toward building a truly intelligent machine – or a set of algorithms to drive such an intelligent agent.”
Prof. Noah Smith of the University of Washington expanded on this level, noting that “We’ve seen a lot of progress through the use of increasingly ‘deep’ neural networks trained on ever-larger datasets.” Prof. Smith additionally recognized getting ready environment friendly algorithms, decreasing system building prices and enhancing knowledge studying strategies as factors that may should be addressed as a way to take AI expertise to the subsequent stage.
The audio system additionally provided their opinions on the place AI developments ought to focus subsequent, spotlighting issues like wi-fi community controls, growing AI’s autonomy, increasing AI’s purposes in chemical and organic analysis, and streamlining interactions between people and AI.
As Prof. Abhinav Gupta of Carnegie Mellon University defined, “In the past few years, we have made significant advancements in AI, but most of these advancements have been in solving specific tasks where lots of data and supervision are available. On the other hand, humans can perform hundreds of thousands of tasks, often with little to no supervision or data for them. This is the next frontier in AI: developing general purpose smart and intelligent agents without access to lots of data and supervision.”
Going Beyond Deep Learning
The first day of the discussion board was organized by the Samsung Advanced Institute of Technology (SAIT), which was established underneath the philosophy of fostering ‘boundless research for breakthroughs.’ Keynote periods noticed distinguished specialists ship displays on deep studying analysis strategies which are driving AI innovation.
Dr. Kinam Kim, President & CEO of Device Solutions at Samsung Electronics, kicked off the occasion by discussing Samsung’s motivation for bringing these famend AI specialists collectively underneath the identical roof. “AI technology is already impacting various aspects of our society,” stated Dr. Kim. “Here on the Samsung AI Forum, alongside among the biggest minds within the trade, we’ll focus on and counsel instructions and techniques for AI…
