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In this talk Blaise Agüera y Arcas, Principal Scientist at Google, will begin by taking a close look at what has been achieved in machine intelligence (especially deep learning) over the past decade, with examples of current techniques and applications from the Machine Intelligence on Devices group at Google and from the community. This includes not only classification and semantic understanding of natural stimuli, but also language, gameplay, and even art. From here Blaise will zoom out and consider some broader questions about human progress, labour and identity in an era of "technological reproducibility".
About the speaker
Blaise Agüera y Arcas is Principal Scientist at Google where he leads a team focusing on Machine Intelligence for mobile devices - including both basic research and new products. His group works extensively with deep neural nets for machine perception, distributed learning, and agents, as well as collaborating with academic institutions on connectomics research.
Until 2014 he was a Distinguished Engineer at Microsoft, where he worked in a variety of roles, from inventor to strategist, and led teams with strengths in interaction design, prototyping, computer vision and machine vision, augmented reality, wearable computing and graphics. Blaise has given TED talks on Seadragon and Photosynth (2007, 2012) and Bing Maps (2010). In 2008, he was awarded MIT’s prestigious TR35 (“35 under 35”).