MLAIP 2017 - First International Workshop on Machine Learning for Artificial Intelligence Platforms (MLAIP)
Topics/Call fo Papers
Recently, several successful AI systems such as Amazon Alexa, Google Assistant, and NAVER X LINE Clova are developed based on AI-assistant platforms. These AI platforms contain several common technologies including speech recognition/synthesis, natural language understanding, image recognition, and dialog recommendation.
Building a successful MLAIP is a challenging mission because it requires a novel combination of heterogeneous machine learning models in a unified framework with efficient data processing. The goals of this workshop is to investigate and advance important topics in Machine Learning for AI Platforms (MLAIPs) further. In addition, we expect to provide the collaboration opportunities to researchers on ML theory on diverse application domains as well as industrial engineers.
Building a successful MLAIP is a challenging mission because it requires a novel combination of heterogeneous machine learning models in a unified framework with efficient data processing. The goals of this workshop is to investigate and advance important topics in Machine Learning for AI Platforms (MLAIPs) further. In addition, we expect to provide the collaboration opportunities to researchers on ML theory on diverse application domains as well as industrial engineers.
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Last modified: 2017-09-12 22:25:10