Intel Research is focused on a vision of Essential Computing: simplifying and enriching all aspects of work and daily life through application and system technologies that collectively empower individuals, connect them to each other and into the fabric of networking society.
Technology has not yet been widely adopted in emerging economies or in low-income communities of the developed world. The challenge is to extend the benefits of technology to these communities, by understanding their needs and designing technology that is relevant to their lives.
In a hospital in Houston, two surgeons appear to be performing a difficult procedure on a cardiac patient. In fact, only one of the doctors in the room is real. The other is a replica—a lifelike physical model whose shape, appearance and movements precisely mimic those of a specialist in Tokyo who is performing the actual work.
Intel Research and the University of Washington are collaborating on a system that can infer a wide range of human activities and provide assistance to complete an activity. Three components of a machine learning system -- sensors, models, and a reasoning engine -- are implemented to infer human activity. See results of the ongoing research and potential future uses for this technology.
Any widely distributed system must be able to monitor participating nodes (computers), route messages among them, and coordinate collective activity such as content dissemination, intrusion detection, and collaborative storage.
Distributed Communications
Physical Layer cooperation by independent wireless devices
Wireless networks are becoming denser every day. Frequency spectrum is a finite resource, increasingly crowded with cell-phones, handhelds, laptops etc. Can dense networks scale up like Moore’s law or will they collapse under Murphy’s law? Our research approach is to leverage network density as a new resource instead of treating network congestion as a problem. That is, rather than shouting louder to be heard above the din, get my neighbors to shout with me. Sophisticated methods of physical layer cooperation are called “virtual” MIMO, collaborative communication, ensemble relaying, etc. The potential
impact of this research is enhanced range, enhanced coverage, longer battery life and fewer dropped calls in cellular and local area networks, and a longer lifetime for sensor networks.
The Diamond system provides a common infrastructure and programming interfaces for building video and image search applications in a variety of domains, such as medical imaging and homeland security. This enables application developers to focus on domain-specific aspects of the problem while relying on Diamond to provide an efficient, parallel implementation of the search task. Researchers from Intel and Carnegie Mellon University, in collaboration with the University of Pittsburgh and the University of Pittsburgh Medical Center (UPMC), are engaged in a collaborative research effort to do interactive, search-assisted diagnosis of breast lesions.
