Mobile platform and application research at SMU LiveLabs

Gottipati, Swetha; Sebastian, Jeena; Tuan, Luong Trung; Wee, Tan Kiat; Chan, Joseph; Keng, Joo; Muralidharan, Kartik; Okoshi, T.; Lee, Mi Kyung; Misra, Archan; Balan, Rajesh Krishna

doi:10.1109/comsnets.2014.6734911

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…Once the users visit a site, the application notes the interests and preferences of the users automatically. Supporting this feature, the application as an active user of AI, gathers data from user accounts and combine sensor data from mobile phones in order to provide suggestions (Gottipati et al, 2014). To the the writers, the best time to travel, for instance, can be advised by the engine through its combined data received from the information previously given by the user like the location of the user's next appointment along with the time, traffic data, current location and Google Calendar.…”

Section: Google Nowmentioning

confidence: 99%

On the track of Artificial Intelligence: Learning with Intelligent Personal Assistants

2016

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In a technology dominated world, useful and timely information can be accessed quickly via Intelligent Personal Assistants (IPAs). By the use of these assistants built into mobile operating systems, daily electronic tasks of a user can be accomplished 24/7. Such tasks like taking dictation, getting turn-by-turn directions, vocalizing email messages, reminding daily appointments, setting reminders, responding any factual questions and invoking apps can be completed by IPAs such as Apple's Siri, Google Now and Microsoft Cortana. The mentioned assistants programmed within Artificial Intelligence (AI) do create an interaction between human and computer through a natural language used in digital communication. In this regard, the overall purpose of this study is to examine the potential use of IPAs that use advanced cognitive computing technologies and Natural Language Processing (NLP) for learning. To achieve this purpose, the working system of IPAs is reviewed briefly within the scope of AI that has recently become smarter to predict, comprehend and carry out multi-step and complex requests of users.

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Section: Google Nowmentioning

confidence: 99%