Integrative AI: Panel
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Episode description
The panel discusses challenges and opportunities in integrative artificial intelligence (AI), an area concerned with the development of systems that efficiently and robustly integrate multiple AI technologies (e.g., vision, speech, learning, real-time control) and can act and interact in the open world. While over the past years we have seen significant progress on core AI technologies, the science of integrating these competencies into larger systems that are robust, transparent, and maintainable remains very much in its infancy. Numerous research and engineering questions come to the fore: from algorithmic challenges in multimodal representations and modeling, to the science of systems that self-monitor, diagnose their limitations and improve through interaction, all the way to the necessity of research platforms, data, and broader community efforts in this space.
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