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Artificial Intelligence and Human-Computer Symbiosis Technologies

Technology to facilitate more intuitive interactions between humans and machines

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Raj Reddy is a University Professor of Computer Science and Robotics and Moza Bint Nasser Chair at Carnegie Mellon University. He was an Assistant Professor at Stanford from 1966-69 and Faculty Member at Carnegie Mellon since 1969. He served as the founding Director of the Robotics Institute from 1979 to 1991 and the Dean of School of Computer Science from 1991 to 1999.
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Ron Brachman is the Director of the Jacobs Technion-Cornell Institute at Cornell Tech in New York City and a professor in the Computer Science Department at Cornell University.
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A DARPA Perspective on Artificial Intelligence
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Charles Rosen, head of the Machine Learning Group at the Stanford Research Institute (now known as SRI International) developed a proposal in 1964 to build a robot that at the time would have featured the intelligence and capabilities that had only been depicted in science fiction books and movies. Even then, Rosen knew that ARPA might appreciate the potential and provide support, which the Agency did in 1966. Six years later, Rosen’s team literally rolled out Shakey, so-named because it shook as it moved. More importantly, Shakey was the first mobile robot with enough artificial intelligence to navigate on its own through a set of rooms. Among its component technologies were a TV camera, a range finder, radio communications, and a set of drive wheels controlled with stepping motors.
Machine learning – the ability of computers to understand data, manage results, and infer insights from uncertain information – is the force behind many recent revolutions in computing. Email spam filters, smartphone personal assistants and self-driving vehicles are all based on research advances in machine learning. Unfortunately, even as the demand for these capabilities is accelerating, every new application requires a Herculean effort. Even a team of specially-trained machine learning experts makes only painfully slow progress due to the lack of tools to build these systems.