Big Data of Engineering Physics/Science
As you know, the manufacturing systems generate huge amounts of sensor data from distributed manufacturing devices. It's a big data world. However, the problems are all engineering physics/science related, and slightly different from web text mining techniques. Their main concerns are storing huge data, extracting interaction effects of systems, and mining of emerging patterns from time series (the real-time monitoring and control systems are another issue). I believe that Hadoop HDFS and Apache Hama can cover this area in the future.
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Opening the black box of Deep Neural Networks via Information - https://arxiv.org/pdf/1703.00810.pdf 지금까지 딥 러닝은 어떻게 동작하는지 이해할 수 없다고 믿어져왔다...
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음성 인공지능 분야에서 스타트업이 생각해볼 수 있는 전략은 아마 다음과 같이 3가지 정도가 있을 것이다: 독자적 Vertical 음성 인공지능 Application 구축 기 음성 플랫폼을 활용한 B2B2C 형태의 비지니스 구축 기 음성 플랫폼...
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As mentioned ago, I've been forming up the Hamburg project with Hyunsik Choi. Let's see more detail in the diagram of computing met...
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