Integrative AI
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Episode description
Over the last 15 years, significant advances have been made in inference and decision making under uncertainty, machine learning, vision, speech recognition, natural language processing, and dialog. Supported by these advances, efforts to develop end-to-end intelligent systems that integrate multiple competencies and act in the open world have brought into focus new research challenges. Interesting opportunities arise at the confluence of traditional AI fields, for instance between computer vision and natural language processing. The science of engineering larger, integrated systems that are efficient, robust, transparent, and maintainable is still very much in its infancy. The speakers in this session will provide a sampler of research challenges, from work at the intersection of vision and language, to situated dialogue systems and interactive robots, and highlight opportunities in integrative AI. The session will be followed by a panel discussion.
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