AmCham Taipei is pleased to invite Ed Chi 紀懷新, Principal Scientist and Research Lead, Brain Team, Google AI (Google AI 首席科學家) to share some of Google's recent advances in Deep Learning and to discuss how it is addressing some of the most challenging issues for the society. In particular, Ed will highlight some of his own experiences in applying machine learning to optimize user experiences with Google products. Understanding users and optimizing for user experience are critical parts of building successful apps and services. He will illustrate how AI-driven and ML-driven approaches can help optimize happy and engaged user experience. Specifically, he will present case studies of how Google utilize novel machine learning techniques to optimize for long-term user engagement in practice.
Deep Learning is one of the most sought after topics in both research and applications. Building these large-scale computing systems for deep learning is non-trivial, which requires understanding of data science, modeling, and distributed computation techniques. Google AI and Google Brain teams have applied many of these ideas to many Google products. Thanks to Google's open-sourced TensorFlow system and platform, many researchers and practitioners are now able to quickly experiment, evaluate, and deploy large-scale machine learning models and systems to address these problems in products, as well as other challenging problems faced by the society.
AmCham Taipei member representatives only
Member Company Guest and Non-members
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