Sebastian Seung, Executive Vice President & Chief Research Scientist, Samsung Electronics
There’s no denying that the age of AI is upon us and that the methods we have interaction and work together are set to vary in large methods. In anticipation of this, Samsung Electronics has opened AI facilities the world over to make sure that the corporate leads the cost on AI. 2019 marks the 50th anniversary of Samsung Electronics, and the corporate has forecast one other 50 years of ingenuity forward, with AI set to be on the coronary heart of future innovation.
To acquire an amazing perception into what AI means for the way forward for society, in addition to the work being carried out on the Samsung AI Centers, Samsung Newsroom sat down with Executive Vice President & Chief Research Scientist, Dr. Sebastian Seung.
Seung joined Samsung Electronics in 2018. He can also be a professor on the Princeton Neuroscience Institute and Department of Computer Science. Seung is among the most influential scientists on the earth on the subject of AI analysis based mostly on neuroscience.
Artificial Neural Networks and AI
Based on his in depth expertise and insights into the sphere of synthetic neural networks1, Seung is engaged on growing future development engines for Samsung Electronics by establishing an AI technique and offering recommendation on superior analysis.
Artificial neural networks are mathematical fashions or laptop simulations of the organic neural networks within the mind. “Convolutional networks, now the dominant approach to computer vision, were inspired by Nobel Prize-winning neuroscience of the 1960s,” in accordance with Seung. His analysis at Princeton focuses on mapping the neuronal “wiring diagram” of the cerebral cortex. “I hope that our 21st century research of the cortex will lastly reveal the way it learns, and that this new understanding will result in extra highly effective synthetic neural networks,” says Seung.
In his work for Samsung, Dr. Seung travels backwards and forwards between the U.S. and Korea. His current work is very centered on superior analysis relating to robots, which is the New York AI Center’s fundamental area of analysis.
Deep Learning and Robotics
These days, robots are already current in society within the types of robotic vacuum cleaners in our houses and robotic arms being utilized in factories and by transport firms. Seung acknowledges that these robots already characterize an early stage of this expertise, however says that what he’s aiming for is one thing far more refined. “In order to develop robots that can, for instance, reach out to pick something up and put it away,” Seung says, “we have to equip them with computer vision so they can see what’s in front of them, and with brains so that they know what all these objects in your house are and what they should do with them.”
Seung acknowledges that labs have tried prior to now to attain these capabilities by the classical strategy of programming, however that that hasn’t actually labored out. “We have realized that we have to somehow allow the robot to learn to perform the required actions itself,” says Seung, “and a lot of that involves the deep-learning approach.”
Seung factors to the realm of dwelling automation as a major software for his or her work. “In the future, you can imagine robots that won’t just give you weather information or change the temperature – they’ll perform far more helpful tasks in your home. They’ll pick up the toys, wash the dishes and even take the laundry up and down the stairs.”
AI in Society
No dialogue of AI could be full with out addressing the apprehensions some folks really feel on the subject of the expertise and the methods through which it stands to vary our lifestyle. Seung addresses this query first almost about the prospect of individuals shedding their jobs to automation. “I think this issue of robots taking our jobs is exaggerated,” he relates. “Firstly, within the final 20 years, the…
