The consumer version focuses on healthcare, connecting people to the experts and information they need to make decisions about their health and treatment.īart Selman, an AI researcher at Cornell University who is not involved with the CALO projects, says that virtual assistants are not yet comparable to human help. The system is already being used by the military to track how information flows through the ranks, identify experts, and generate a repertoire of answers to standard questions. Connecting peopleĪnother CALO spinoff is Social Kinetics, a social-network analysis package that helps people organise their contacts by criteria that can include relationship and expertise. The person it is helping can also book cinema tickets, and search for flights or weather forecasts without typing a word. Siri uses navigates the various web services for the user, even booking restaurants and taxis through web forms where possible. Rather than having to personally trawl through multiple websites to find a likely eatery, get the contact details and address, and make a reservation, the user can verbally instruct Siri to, say, “find me a romantic Thai restaurant in this area”. Siri has been designed to assist with mundane tasks, such as checking online reviews to find a good local restaurant and booking a table. Intelligent appĪ spin-off of DARPA’s project, an app called Siri, will be coming to Apple’s iPhone later this year. For example, if a person consistently marks emails from one person, perhaps their boss, as high-priority, CALO can use that knowledge to order their meeting schedule too. So the developers have built in tricks such as “transfer learning”, which applies lessons from one domain to another.
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If it takes thousands of examples to learn how someone likes their email sorted, frustrated users will soon switch it off.
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But CALO needs to be quicker on the uptake.
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Clipy things for putting things tpogether software#
Most software capable of learning needs large numbers of examples for something to stick – a spam filter trained on millions of emails, for example.