Advancing new hardware for cognitive systems with a focus on neuromorphic computing, phase change memory GPU acceleration, novel hardware architectures and more.
Capturing knowledge extracted from varied data sources such as text, speech, image and video, and representing it in common, easy-to-query forms.
Natural language text understanding
Allowing cognitive systems to identify and interact with textual data, including text features, classification, semantic similarity, semantic parsing and natural language generation.
Giving cognitive computers the expertise to understand images, video and other multimedia using parsers, feature identifiers, classifiers, and new methods.
Speech and audio
Enabling efficient and meaningful communication between humans and machines through speech analysis and speech generation.
Allowing cognitive systems to take into account any necessary background, intent, context, and techniques to remove ambiguity and user preferences when interacting with a person.
Deep Learning as a Service
Developing fundamental capabilities in natural language understanding, visual comprehension, deep domain understanding and learning to reason.
Creating artificial agents such as avatars, objects, robots and spaces that engage with humans and act as partners that enhance our ability to perform cognitive tasks.