SBIR/STTR Research Award
Using Virtual MemComputing Machine to Develop Programming for Space-Based Robotic Arm Satellite Capture
Award amount
$749,581Program and phase
SBIR · Phase IIAward year
2022Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- MEMCOMPUTING, INC.
- Proposal award date
- 2022-07-25
- Contract end date
- 2023-10-25
- UEI
- X5GSZ97M88M1
- Solicitation number
- X21.2
- Topic code
- AF212-CSO1
Research abstract
MemComputing’s VMM technology is an emulation of digital computing machine using the patented MemComputing compute architecture, allowing the VMM to quickly solve the largest and most complex industrial computations associated with optimization, big data
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Enhancing Space Force Capabilities through Advanced Computing Technologies: A MemComputing Approach
- MemComputing to Optimize Complex AF Logistics Problems at Scale
- Prime Factorization to Break Encryption
- Based Robotic Arm Satellite Capture
- Signal Processing
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Monitoring Evolution of Coordinated Inauthentic Behavior
- Automated Target Recognition for Rapid Multitarget Grouping, Discrimination and Neutralization
- Composite Binder Enabling Higher Propellant Loading and Performance for Extended Range and Reduced Mass Missile Propulsion
- Video Based Assessment Capabilities and Human Performance Optimization
- Secure, BYOAD Enterprise Talk, Text, Video, and Data Transmission for Air Force Special Operations Command in Communications Denied/Degraded Environments
Research funding history
9 SBIR/STTR records share this UEI (2020–2024). Reported award amounts total $2,671,211. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, National Aeronautics and Space Administration