CLOSTRA INC — Department of Defense SBIR Phase I: A20-107
CLOSTRA INC — SBIR Phase I award from Department of Defense.
- Amount
- $111,487
- Agency
- Department of Defense · Army
- Program / Phase
- SBIR · Phase I
- Topic
- A20-107
- Solicitation
- 20.2
- NAICS
- —
- Place of performance
- FL
- Period
- 2020-10-16 → 2021-07-29
Description
Recent innovations in deep learning theory and implementation have enabled neural nets to achieve what was once unthinkable: beat humans at complex image recognition skills, safely pilot cars over chaotic road systems, and overwhelm Grandmaster Lee Sedol in the game of Go, a challenge previously thought immune to AI because of the game’s near-infinite complexity. Clostra has applied a machine learning solution to automatically label/segment ML datasets. While training neural networks are computationally intensive and requires specialized hardware, execution is computationally inexpensive and can be implemented with very modest CPU and memory requirements. Phase 1 of the project determines feasibility by testing and training a sophisticated segmentation/localization/classifier allowing for large datasets to be automatically label for use in training neural networks.