ppm.csail.mit.edu
An Expedition in Computing for Compiling Printable Programmable Machines | An Expedition in Computing for Compiling Printable Programmable Machines
Skip to main content. An Expedition in Computing for Compiling. An Expedition in Computing for Compiling Printable Programmable Machines. Daniela Rus, Project PI. Vijay Kumar, UPenn PI. Andre DeHon, Martin Demaine, Sanjeev Khanna, Sangbae Kim, Insup Lee, Wojciech Matusik, Martin Rinard, Rob Wood. Fundamental problems in computer science about what is computable by digital machines will change. The problems will be reframed in a larger context as what functional hybrid machines are constructible from ...
pmg.csail.mit.edu
Programming Methodology Group
The Programming Methodology Group is a research group in the MIT. Computer Science and Artificial Intelligence Laboratory. Dedicated to research in distributed systems, object oriented databases, programming languages, and software design. Our most recent research focuses on very large scale distributed systems based on distributed hash tables. The IRIS. Project is a large, ongoing collaboration. A summary of our contributions can be found here. IFDB: Decentralized Information Flow Control for Databases.
pdos.csail.mit.edu
MIT CSAIL Parallel and Distributed Operating Systems Group
Parallel and Distributed Operating Systems Group. We at PDOS build and investigate software systems for parallel and distributed environments. We have conducted research in operating systems. Language and compiler design. Taking a pragmatic approach: we build. We work concurrently on a number of research projects. Our currently active research projects can be roughly grouped into the following categories. File-system verification using Coq. Private messaging systems that hide metadata at scale.
oxygen.csail.mit.edu
MIT Project Oxygen
Oxygen in the Press. Computer Science and Artificial Intelligence Laboratory. The Stata Center, Building 32. 32 Vassar Street - Cambridge, MA 02139 - USA. Tel: 1-617-253-6218 Fax: 1-617-258-8682. Email: oxygen@lcs.mit.edu.
nms.csail.mit.edu
Networks and Mobile Systems
Software and hardware releases from the NMS group. Computer Science and Artificial Intelligence Laboratory. Conducts research in many areas of networking: wireless networks, Internet architecture and protocols, overlay and peer-to-peer networks, sensor networks, network security, and networked systems. The group was formed in 1998. Datacenter networks and cloud infrastructure. Domino: programmable router data planes. Flexplane: whole-network emulation in software for programmability. Delegation-Oriented ...
narrative.csail.mit.edu
CMN'14
Computational Models of Narrative. July 31 August 2, 2014. Quebec City Conference Center. Quebec City, Canada. Washington University in St. Louis. This workshop will be an appropriate venue for papers addressing fundamental topics and questions regarding narrative. The workshop will be co-located with the following meetings:. 36th Annual Meeting of the Cognitive Science Society. CogSci 2014, July 23-26). 28th Conference on Artificial Intelligence. AAAI-14, July 27-31). IAAI-14, July 29-31). What cognitiv...
nanog.csail.mit.edu
CGS Web Server
Computational Genomics Research Group at MIT.
ll4.csail.mit.edu
LL4
Lightweight Languages 2004 (LL4). Dec 4, 2004. MIT, Cambridge MA. LL4 will be an intense, exciting, one-day forum bringing together the best programming language implementors and researchers, from both academia and industry, to exchange ideas and information, to challenge one another, and to learn from one another. Morning Session 1 (RealMedia). Morning Session 2 (RealMedia). Afternoon Session 1 (RealMedia). Afternoon Session 2 (RealMedia). Ken Anderson, BBN (co-chair). David Ascher, ActiveState.
lis.csail.mit.edu
Learning and Intelligent Systems @ MIT CSAIL
Learning and Intelligent Systems Group. Computer Science and Artificial Intelligence Laboratory. Massachusetts Institute of Technology. 32 Vassar Street, Cambridge MA 02139. The Learning and Intelligent Systems Group. We conduct interdisciplinary research aimed at discovering the principles underlying the design of artificially intelligent robots. Our goal is to create robots that can perform the kinds of everyday tasks that come naturally to humans, but that are beyond the reach of current technology.
labelme.csail.mit.edu
LabelMe. The Open annotation tool
Welcome to LabelMe, the open annotation tool. The goal of LabelMe is to provide an online annotation tool to build image databases for computer vision research. You can contribute to the database by visiting the annotation tool. Label objects in the images. Upload your own pictures and explore the public collections. Released: Dec 10, 2012. For iPhone and iPad. Or Sign Up Why? C) MIT, Computer Science and Artificial Intelligence Laboratory. Add Pictures to Collection. Enter your email adress below.
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