Berkeley:
Research Projects
Pittsburgh:
	Diamond
	The goal of Diamond is to enable interactive search of terabyte-scale, non-indexed collections of complex data (such as photo collections, satellite pictures and medical images) by exploiting recent advances in active disk technology.
	Dynamic Physical Rendering
	In the Dynamic Physical Rendering Project, researchers at the Intel Pittsburgh Lablet and Carnegie Mellon University are jointly exploring a new form of smart matter which would be composed of myriad tiny robots acting together for telepresence, teleoperation, material handing/manipulation, locomotion, and distributed sensing. "Ensembles" of thousands to millions of robots would form physical analogs of virtual shapes which human senses would accept as real, eliminating cumbersome virtual reality gear and viewing angle limitations now present for most 3D visualization and telepresence applications. Likewise, such ensembles would act as reconfigurable, general-purpose robots capable of many forms of locomotion and object manipulation.
	Internet Suspend/Resume
	Internet Suspend/Resume is a new approach to mobile computing in which a user’s computing environment follows the user through the Internet as he or she travels. Today, when a laptop computer is closed, the user’s execution state is suspended to disk. When the user moves the laptop to a new physical location, the user may re-open the laptop, and resume working in the same environment that was active at the time of suspend. The goal of the ISR project is to achieve the same effect without requiring the user to transport physical hardware.
	Log-Based Architectures
	The Log-Based Architectures (LBA) project focuses on developing extensions for many-core processors that enable efficient logging and extraction of run time execution events and demonstrating the benefits of such extensions for performance, debugging, security and recovery.
Seattle:
	Activity Recognition
	The Activity Recognition project uses sensors and statistical processing to recognize and reason about a wide range of human physical activity. Techniques under exploration include sensing at very high densities, automatically identifying features relevant to activities, mining common sense and using it in building activity models and localizing anomalies in time series data. Driving applications for the project are assisted care, physical workflow analysis and activity-aware electronics.
	Handheld RFID Reader
	How to guide and communicate with a small footprint RFID Reader.
	Platform Location Capability
	The PLC project is investigating how new sensors can improve location estimation in mobile platforms and exploring the possibility of mapping indoor environments without any prior knowledge. A second thread of PLC is to engage with and transfer location technology to Intel product groups.
	Mobile Sensing Platform (MSP)
	The Mobile Sensing Platform is an integrated sensing and inference platform. The research goals are to build new multi-modal sensing hardware and to develop machine learning techniques for inferring context from the raw sensor streams. We are focusing on building probabilistic models for activity inference and localization using the MSP data and investigating ways to implement these algorithms on the platform itself.

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