SRI International
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Digital rights management
PARC’s concepts for trusted systems and digital property rights led to the joint venture called ContentGuard.
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Leveraging RF power for flexible-hybrid electronics
PARC has developed roll-to-roll printable antennas and rectifiers for RF energy harvesting.
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Developing a K–12 STEM Education Indicator System
For the National Science Foundation, SRI supported the development of 14 indicators measuring students’ access to quality learning, educators’ capacity, and policy and funding initiatives in K–12 STEM education.
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Community College Partnership’s Instructional Impacts
SRI Education and partners conducted a 6-year study of community college-employer collaboration to improve the design and delivery of workforce education programming.
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Center for Innovative Research in Cyberlearning (CIRCL)
Connecting and exploring researchers’ perspectives in digital learning to make significant and lasting improvements to STEM education.
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Evaluation of International Baccalaureate’s Bridging the Equity Gap Project
SRI studied the implementation and outcomes of a new consulting model designed to increase the participation and success of students with low incomes in IB’s Diploma Programme.
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Evaluation of CISE Pathways to Revitalized Undergraduate Computer Education
The CPATH program was intended to transform undergraduate computing education on a national scale to meet current and future national needs.
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Evaluation of the Florida Master Teacher Initiative
SRI examined the initiative’s impact on improving academic outcomes for more than 10,000 high-need children.
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iSTEM: Impacts of Inclusive STEM High Schools on Student Outcomes
SRI Education leads a first-of-its-kind longitudinal study on the schools’ effectiveness in Texas, North Carolina and Ohio.
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Evaluation of Rocketship Students’ Middle School Outcomes
SRI examined middle school outcomes of Rocketship alumni and their peers who attended non-Rocketship elementary schools.
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Efficient Fine-Grained Classification and Part Localization Using One Compact Network
We propose a novel multi-task deep network architecture that jointly optimizes both localization of parts and fine-grained class labels by learning from training data.
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Managing Information Overload with Text Analytics
No scientist or researcher can keep current with the vast number of potentially relevant journal articles and technical documents published each year in a given field. As with many problems involving overwhelming amounts of information, computers and advanced machine learning/artificial intelligence tools offer a potential solution. Text analytics can be applied to entire document sets…