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Project Name Overview
Single-Chip Cloud Computer Intel’s Single-Chip Cloud Computer (SCC), an experimental processor with 48 cores, will help researchers to explore the future of many-core computing.
People Proximity People Proximity
Intelligent Transportation Intelligent Transportation
RouterBricks RouterBricks
Disaster Response Communications Disaster Response Communications
Flexible, Secure Distributed Systems for Mobile and Cloud Applications Flexible, Secure Distributed Systems for Mobile and Cloud Applications
Open Cirrus Open Cirrus
Tashi Tashi
Neighborhood-aware Networking Neighborhood-aware Networking
Activity Recognition in Streaming Video Activity Recognition in Streaming Video
Personal Robotics Personal Robotics
Water Wars Water Wars
Real-time Ray Tracing: 3D Water and 3D Display Real-time Ray Tracing: 3D Water and 3D Display
ScienceSim Collaboration ScienceSim Collaboration
On-chip Highways: 2D Interconnect for Tera-scale Processors On-chip Highways: 2D Interconnect for Tera-scale Processors
Computer Vision Accelerator Computer Vision Accelerator
VoIP Capacity Improvement for Next-Generation WiMAX Networks VoIP Capacity Improvement for Next-Generation WiMAX Networks
Communication Assisted Platform Power Management Communication Assisted Platform Power Management
Platform Power Management Platform Power Management
Ultra-low Voltage Scalable Graphics SIMD Vector Processing Ultra-low Voltage Scalable Graphics SIMD Vector Processing
Defending Enterprises Against -Data Poisoning Attacks Defending Enterprises Against -Data Poisoning Attacks
Improving Privacy for Wireless Device Users Improving Privacy for Wireless Device Users
Hybrid Silicon Laser “Silicon Photonics is a critical part of tera-Scale computing as we need the ability to move massive amounts of data on and off these very high performance chips” - Justin Rattner, Intel Chief Technology Officer
Avalanche Photodetector Avalanche Photodetector
Teraflops Research Chip Teraflops Research Chip
Technology Metabolism Index Technology Metabolism Index
Scalable Virtual Worlds 3D virtual worlds provide people an opportunity to interact online in an environment that is more similar to real-life face-to-face interactions. However, today the quality of these worlds is limited by the technical challenges involved in creating these massive shared environments in the cloud while streaming graphics over constrained networks to end users. Intel researchers are working to make the infrastructure underlying these worlds more efficient, scalable, and visually immersive.
Online Semi-Supervised Learning and Face Recognition Online semi-supervised learning algorithms incrementally build models of objects, such as faces, and dynamically refine them over time using real-world observations. Researchers on this project team successfully used this approach to develop an effective and highly accurate face recognizer and scaled it to the computational resources of a mobile computer powered by a mainstream Intel® Atom™ processor.
Context Awareness: Activity Recognition Activity recognition combines hard sensing and soft sensing inputs to a computer to determine what an individual is doing.
Context Awareness: Social Proximity Detection By monitoring social interactions, a computing device can provide input for contextually aware applications.
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