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The Intel AI Lab – Learning Club Talk by Yinyin Liu (TBD)
June 13, 2018 @ 12:00 pm - 1:00 pm IDT
Yinyin Liu, Head of Data Science, Intel AIPG
The Intel AI Lab, within the AI Products Group was formed last year with the goal of pursuing fundamental and applied AI research, and the long term vision of building brain-like capabilities. The lab is focused on developing and implementing state of the art algorithms in topics such as natural language processing, vision, audio, reinforcement learning, recommendation systems, and robotic learning. Key vertical areas include autonomous driving, federal and retail. We partner both internally with Intel Labs and other groups, and externally with universities and companies. The output includes open source software releases and publishing at top AI conferences. The work also helps our partner Intel teams build better hardware and software products, and marketing demos. In this talk I will give an overview of the AI Lab.
Yinyin’s BIO
Yinyin Liu is the head of data science for AIPG at Intel, where she works with a team of data scientists on applying deep learning and Intel Nervana technologies to business applications across different industry domains and driving the development and design of the Intel Nervana platform. She and the Intel Nervana team have developed open source deep learning frameworks, such as neon and Intel Nervana Graph, bringing state-of-the-art models on image recognition, image localization, and natural language processing into the frameworks. Yinyin has research experience in computer vision, neuromorphic computing, and robotics.