Mobile Assistance Using Infrastructure (MAUI)

Established: September 9, 2009

Publications

Videos

Overview

The Mobile Assistance Using Infrastructure (MAUI) project enables a new class of cpu- and data-intensive applications that seamlessly augment the cognitive abilities of users by exploiting speech recognition, NLP, vision, machine learning, and augmented reality. it overcomes the energy limitations of handhelds by leaveraging nearby computing infrastructure.

Brief Description

The size, weight, and battery life of mobile devices severely limit the class of applications that run on them. This is not just a temporary limitation, it is intrinsic to the types of mobile hardware that people are willing to carry for extended time periods. A “MAUI Node” is nearby computing infrastructure, connected to mobile devices by a high bandwidth, low latency wireless LAN. MAUI enables a new class of cpu- and data-intensive applications that seamlessly augment the cognitive abilities of users by exploiting speech recognition, NLP, vision, machine learning, and augmented reality.

The best way to impose requirements on Maui and demonstrate the power of the platform is by actually building web-services that take advandage of MAUI nodes. We are starting to build some sample “partitioned” application that use MAUI: interactive games, and a voice-based language translation application.

Interns

University Collaborators

  • Mahadev Satya, Carnegie Mellon University
  • Ramesh Govindan, University of Southern California
  • Mario Gerla, University of California Los Angeles

People

  • Portrait of Victor Bahl

    Victor Bahl

    Technical Fellow & Chief Technology Officer, Azure for Operators

  • Portrait of Ranveer Chandra

    Ranveer Chandra

    Managing Director, Research for Industry Partner Manager, Networking Research CTO, Agri-Food

  • Portrait of Stefan Saroiu

    Stefan Saroiu

    Senior Principal Researcher

  • Portrait of Alec Wolman

    Alec Wolman

    Senior Principal Research Manager