Samsung sets up UK embedded AI lab
The company has opened three new AI centres around the world in Cambridge, Toronto and Moscow alongside the existing ones in Korea and the US and plans to hire 1000 researchers by 2020.
The Samsung AI Centre-Cambridge will be led by Prof Andrew Blake (above), Director of Microsoft’s Cambridge Laboratory until 2015 when he set up the Turing Institute. He is a pioneer in the development of mchine vision theory and algorithms and also an advisor to driverless car technology company Five.ai. The centre will also work with Professor Maja Pantić of Imperial College, London and will be part of the development of a common AT platform for company.
“This new Centre signifies our commitment to the advancement of AI,” said Prof Blake. “Our research will help us to better understand human behaviour while exploring areas like emotion recognition, and further expand the boundaries of user-centric communication to develop AI technologies that ultimately improve people’s lives.”
The Centre in Toronto will be led by Dr. Larry Heck, Senior Vice President of Samsung Research America (SRA), and an expert in virtual personal assistant technologies while the Moscow centre plans to have AI experts such as Professor Dmitry Vetrov (Higher School of Economics) and Professor Victor Lempitsky (Skolkovo Institute of Science and Technology) leading its research when it launches at the end of the month.
“Samsung has a long history of pursuing innovation and we are excited to be bringing that same passion and technology leadership to AI,” said Hyun-suk Kim, President and Head of Samsung Research at the opening of the new AI Centre in Cambridge this week. “With the new AI Centres and recruitment of leading experts in the field, our aim is to be a game changer for the AI industry.”
Samsung sees Internet of Things (IoT) devices with embedded AI generating vast amounts of data that can provide insights about the lives of users, enabling them to take advantage of intelligent services optimised for their own personal preferences. How these AI-enabled devices provide consumers with the most optimised options will be critical to the success of AI technology for the near future, and Samsung aims to build an AI platform under a common architecture that will not only scale quickly but also provide a deep understanding of usage context and behaviours.
Related stories:
If you enjoyed this article, you will like the following ones: don't miss them by subscribing to :
