About AILabs

 

Brain & Robotics lab investigates how sensorimotor information is and/or should be processed to generate intelligent behavior on biological and artificial systems from a computational viewpoint with strong emphasis on  embodiment, development and learning. Human-robot synergistic adaptation and learning is also studied for synthesizing autonomous and semi-autonomous dexterous behaviors on robots.  

Intelligent Systems lab

Natural Language Processing lab  studies wide range of topics from Natural Language Processing and Information Retrieval. Some current research areas include but not limited to Text Mining, Statistical Machine Translation, Semantic Analysis and Social Media Analysis.

Computer Vision  lab develops learning algorithms that enable computers to extract knowledge from data and exploit this knowledge to make predictions for future cases. This group aims to discover new schemes to perform learning in the computer environment that are known to be used by the human brain, such as deep (layered) learning, learning from few samples, and learning from incomplete data.

 Statistical Machine Learning lab (To be inaugurated in January 2017): develops learning algorithms that enable computers to extract knowledge from data and exploit this knowledge to make predictions for future cases. This group aims to discover new schemes to perform learning in the computer environment that are known to be used by the human brain, such as deep (layered) learning, learning from few samples, and learning from incomplete data.