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T-Party A Research Collaboration on the future of Mobile IT. T-Party Workshop @ QRDC January 17-19, 2006. Tuesday Agenda: Introductions Brief introduction to T-Party (Chris Terman, 15 min) Just Play (Steve Ward, 45 mins) T-Net (Frans Kaashoek, 45 mins) T-Party Ideas Seminar: Trevor Darrell
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T-Party Workshop @ QRDCJanuary 17-19, 2006 • Tuesday Agenda: Introductions • Brief introduction to T-Party (Chris Terman, 15 min) • Just Play (Steve Ward, 45 mins) • T-Net (Frans Kaashoek, 45 mins) • T-Party Ideas Seminar: Trevor Darrell • Wednesday Agenda: Roll up our sleeves & interact! • Just Play (9:30 – 12:00, lunch discussion) • T-Net (1:00 – 3:30, discussion) • T-Party Ideas Seminar: Daniela Rus • Thursday: presentations/discussion at NTU
Berners-Lee Barzilay Amarasinghe Abelson Adelson Agarwal Arvind Asanovic Balakrishnan Berger Brooks Clark Collins Corbato Darrell Demaine Dennis Devadas Durand Edelman Ernst Fano Fisher Freeman Garland Gifford Glass Goemans Goldwasser Golland Weitzner Systems (27) Cognition (24) Indyk Grimson Guttag Horn Jaakkola Jackson Kaashoek Kaelbling Karger Katabi Katz Knight Lampson Leighton Davis Kellis Leiserson Leonard Liskov Long Lozano-Perez Lynch Madden Massaquoi Meyer Micali Miller Morris Moses O’Reilly Popovic Poggio Tedrake Rubinfeld Richards Rinard Rivest Roy Rudolph Rus Saltzer Seneff Shor Shrobe Sipser Sollins Stonebraker Theory (19) Sudan Sussman Szolovits Teller Tenenbaum Terman Tidor Vempala Ward Williams Willsky Winston Wisdom Stultz Zue CSAIL: Computer Science and Artificial Intelligence Laboratory93 PI’s + 145 staff + 471 grad students 17 Living Systems (23)
Q&A • How is the CSAIL research program organized? • Research groups are led by one or two principal investigators (faculty or senior staff) • Some groups have full-time professional researchers • Some groups have postdoctoral associates • PhD/MEng students (they do the hard work!) supported by fellowships, or as teaching or research assistants • How is this related to MIT’s academic program? • MIT academics: departments and divisions • MIT research: laboratories and centers • Faculty are members of both a department and a lab • CSAIL members come from 9 different departments, but majority are in computer science area of the Dept. of Electrical Engineering and Computer Science (EECS)
System trends • Infrastructure • Data handling • Networking • I/O strategy • User interactions • Form factor Networked standalone devices Distributed framework for virtual computation Local Bits Objects + metadata in virtual storage Client-server, global peer-to-peer, ad-hoc, local Co-located devices Just-in-time assemblies of heterogeneous devices Mouse + keyboard Multimodal, context-aware interfaces (audio/speech, images/vision as first-class data) Large, immobile, plugged in Small, mobile, power-aware COMPUTER APPLIANCE/SERVICE
Design principles for future systems • New systems must lower the cognitive load on the user • User’s “state” should be independent of a particular (set of) devices • User data should be available everywhere, securely. • Instantly migrate on-going interactions to new devices • Mobile devices should integrate seamlessly with each other and the fixed infrastructure of the local environment • The user shouldn’t have to configure anything • Trust and security issues should be handled automatically when possible • Distributed, heterogeneous, unbundled, human-centric
T-Party Objectives • To develop the next generation of platforms for computing and communication beyond personal computers • To create new systems for the development and seamless delivery of information services in a world of smart devices and sensors • To move from Device-Centric to Human-Centric • Create an effective long-term collaboration that is genuinely useful to both Quanta and CSAIL • CSAIL needs a supply of hard, meaningful problems • Corporate partners need an incubator for new technologies
Process • Focus on 4 technologies that we think are key to next generation mobile environments • Identify wild ideas to bring into the lab • Disruptive technologies are the real opportunities • Engage Quanta and its partners on many levels, as often as possible
Key technologies • Virtualized computation platform • Trusted Computing • Secure, Reliable Virtual Storage • T-Net (*) • Next-generation networking: direct, secure, authorized, authenticated access to (mobile) personal devices • “Just Play” (*) • Distributed systems automatically constructed from ad-hoc collections of “near-by” devices: remove technical burdens of deploying and using devices and services • Natural Interactions • Human language is ideal interface for most users and in real-world environments where the traditional GUI is not practical • Multi-modal (speech, vision, gesture) for robustness and efficiency