====== Laboratory for Neural Computing for Machine Learning (NCML) ======

Welcome to the homepage of ** Laboratory for Neural Computing and Machine Learning (NCML)**.  //This lab supports research in areas of neural computing models and algorithms for machine learning, with applications to speech recognition and understanding, natural language processing, image/video recognition.// \\


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===== Research Aims of the Lab =====

  - **Explore new neural computing models for machine learning:** we explore novel neural computing models and algorithms, which are powerful enough to tackle complex real-world artificial intelligent tasks and meanwhile efficient enough to make good use of big-data. 
  - **Investigate neural representations of knowledge for artificial cognition:** we investigate a new research area to represent world knowledge (including common sense, common knowledge and domain-specific information) as distributed representations in continuous semantic spaces to achieve advanced cognition, such as //teaching machines to think like humans//. 
  - **Advance machine intelligence in speech recognition and understanding, natural language processing and computer vision:** we focus on three main application areas: a) //human-machine dialogue systems// via speech or text, such as personal assistant agent in smart phones. b) //deep natural language processing and understanding//, such as automatic machine question & answer (Q&A) systems in general domains or special fields (medical, health, legal, etc). c) //Image and video scene analysis//, such as autonomous robot navigation and controlling.