University of Washington computer science professor Pedro Domingos is developing CALO, a massive, four-year-old artificial intelligence project to help computers understand human intentions. The DARPA-funded project involves researchers from 25 universities and corporations focusing on many areas of artificial intelligence, including machine learning, natural-language processing, and Semantic Web technologies. CALO, which stands for “cognitive assistant that learns and organizes,” tries to help users by managing information about key people and projects, understanding and organizing information from meetings, and learning and automating routine tasks. For example, CALO can learn about projects and who is involved in those projects, so emails from those people can be given priority and categorized based on subject matter. CALO can also be used to make transcripts of meetings through voice recognition, or perform routine tasks such as purchasing books online, searching for a hotel that meets specific criteria, scheduling meetings, and coordinating people’s schedules. The ultimate goal is to build an artificial intelligence that can serve as a personal assistant that can learn about a user’s needs and preferences and adapt to them without having to be reprogrammed. “It’s an amazingly large thing, and it’s insanely ambitious,” Domingos says. “But if CALO succeeds, it’ll be quite a revolution.”
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