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Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:INTELLERCE LLC
Doing Business As Name:INTELLERCE LLC
PD/PI:
  • Hamed Omidvar
  • (858) 333-2933
  • intellercellc@gmail.com
Award Date:07/23/2021
Estimated Total Award Amount: $ 256,000
Funds Obligated to Date: $ 256,000
  • FY 2021=$256,000
Start Date:08/01/2021
End Date:05/31/2022
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.041
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:SBIR Phase I: An AI-Based Collaborative Video Streaming Platform
Federal Award ID Number:2112229
DUNS ID:130700787
Program:SBIR Phase I
Program Officer:
  • Peter Atherton
  • (703) 292-8772
  • patherto@nsf.gov

Awardee Location

Street:4178 DECORO ST APT 8
City:SAN DIEGO
State:CA
ZIP:92122-1405
County:San Diego
Country:US
Awardee Cong. District:

Primary Place of Performance

Organization Name:INTELLERCE LLC
Street:4178 Decoro St Apt 8
City:San Diego
State:CA
ZIP:92122-1405
County:San Diego
Country:US
Cong. District:52

Abstract at Time of Award

The broader impact of this Small Business Innovation Research (SBIR) Phase I project is to improve video streaming for applications ranging from consumer viewing to remote education. The proposed platform reduces the need for data centers and Content Distribution Networks (CDNs), leading to cost reductions for video delivery. By potentially reducing network congestion and increasing network resilience to failures, the resulting solution can help improve viewers’ experience. Moreover, because video streaming represents 80+% of internet traffic, the proposed technology will contribute to a reduction in the energy consumption and carbon footprint of the cloud computing infrastructures currently used for this service. This Small Business Innovation Research (SBIR) Phase I project leverages and extend state-of-the-art research in artificial intelligence, stochastic systems and edge networks, addressing three key challenges: (1) Design of a decentralized artificial intelligence optimization algorithm that efficiently manages video traffic; (2) Design of an advanced simulation environment capable of efficiently mimicking the behavior of real-world networks of users for system design and assessment; (3) System optimization for use on a wide range of devices. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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