Cognitive Computing

•       Presenter:

–      Kelvin Qin/秦勇

–      Senior Technical Staff Member

–      IBM Research – China

•       Abstract:

In the era of Big Data, the biggest challenge for enterprises today is to re-discover the trends, re-discover the clients, re-define the relationship with customers to satisfy their ever growing demands. We strive to improve enterprise's capability and efficiency to make a smart decision from heterogeneous data sources including structured, semi-structured and unstructured data by developing the cognitive computing technology . The ultimate goal is to provide enterprise and human decision supporting tools for complex problems solving. In this talk, I will brief IBM research strategy on cognitive computing and several technologies we are working on to interact with data naturally and understand data deeply.

Advanced Language Modeling

•       Presenter:

–      Songfang Huang/黄松芳

–      Research Staff Member

–      IBM Research – China

•       Abstract:

Traditional N-gram models are widely used in speech and language processing applications, e.g., speech recognition and machine translation. However, N-gram models suffer from some limitations, due to the Markov assumption. In this talk, we will briefly review several advanced language modeling techniques to go beyond short-span limitations and incorporate additional information sources. The models we will cover include, but not limited to, exponential models, Bayesian models, and neural network models.

Multi-factor Mobile Biometric Authentication

•       Presenter:

–      Min Li/李敏

–      Staff Researcher Member

–      IBM Research - China