$44.08M
Department of Commerce · U.S. Patent and Trademark Office
IMPROVE PATENT SEARCH WITH ARTIFICIAL INTELLIGENCE CONTRACTOR SUPPORT FOR RFI PROTOTYPE POP&FPOP: 6 MONTHS FROM DOA. EPMS ID 102001
Federal AI contracts: 2019
14 AI/ML contracts · $85.82M total · across 4 agencies and 11 vendors.
Top vendors in 2019
- ACCENTURE FEDERAL SERVICES LLC — $44.08M (1)
- KITWARE INC — $14.41M (2)
- RTX BBN TECHNOLOGIES, INC. — $8.10M (2)
- NEXT CENTURY CORPORATION — $5.72M (1)
- BAE SYSTEMS INFORMATION AND ELECTRONIC SYSTEMS INTEGRATION INC. — $4.87M (1)
- SRI INTERNATIONAL — $4.04M (1)
- LINQUEST CORPORATION — $1.97M (1)
- DIGITAL SCIENCE & RESEARCH SOLUTIONS INC — $1.46M (2)
- AEEC, LLC — $613K (1)
- MICHIGAN TECHNOLOGICAL UNIVERSITY — $290K (1)
Top agencies in 2019
- Department of Commerce — $44.69M (2)
- Department of Defense — $39.10M (8)
- Department of Health and Human Services — $1.74M (3)
- Department of Transportation — $290K (1)
Biggest awards of 2019
$9.50M
Department of Defense · Department of the Air Force
A2I2: ARCHITECTURE, ALGORITHMS, AND INNOVATIVE INTERFACES FOR DO IT YOURSELF ARTIFICIAL INTELLIGENCE
$5.72M
Department of Defense · Department of the Air Force
MULTIMODAL OPEN INTERFACES FOR REASONING BY ARTIFICIAL INTELLIGENCE (MOIRAI)
$5.20M
Department of Defense · Defense Contract Management Agency
THE SCIENCE OF ARTIFICIAL INTELLIGENCE AND LEARNING FOR OPEN-WORLD NOVELTY (SAIL-ON) PROGRAM INTENDS TO RESEARCH AND DEVELOP THE UNDERLYING SCIENTIFIC PRINCIPLES, GENERAL ENGINEERING TECHNIQUES, AND ALGORITHMS NEEDED TO CREATE AI SYSTEMS.
$4.91M
Department of Defense · Defense Contract Management Agency
SCIENCE OF ARTIFICIAL INTELLIGENCE AND LEARNING FOR OPEN-WORLD NOVELTY (SAIL-ON)
Department of Defense · Defense Contract Management Agency
COMPETENCY-AWARE MACHINE LEARNING (CAML)- THE PURPOSE OF THE CAML PROGRAM IS TO IMPROVE HUMAN-MACHINE TEAMING CAPABILITIES AND THE TASK SYNERGIES EXPECTED OF AUTONOMOUS SYSTEMS.
$4.04M
Department of Defense · Defense Contract Management Agency
SCIENCE OF ARTIFICIAL INTELLIGENCE AND LEARNING FOR OPEN-WORLD NOVELTY (SAIL-ON) - BASE (PHASE 1)
$2.90M
Department of Defense · Defense Contract Management Agency
COMPETENCY-AWARE MACHINE LEARNING (CAML). THE CAML PROGRAM PROPOSES TO IMPROVE HUMAN-MACHINE TEAMING AND REALIZATION OF THE TASK SYNERGIES EXPECTED OF AUTONOMOUS SYSTEMS.
$1.97M
Department of Defense · Department of the Air Force
ARTIFICIAL INTELLIGENCE TASK 1 LABOR
Department of Health and Human Services · National Institutes of Health
SR/SPA TASK ORDER 0006 - MACHINE LEARNING SUPPORT AND MODEL ENHANCEMENTS
$613K
Department of Commerce · U.S. Patent and Trademark Office
PROOF OF CONCEPT FOR ARTIFICIAL INTELLIGENCE SUPPORTING PATENTS AND TRADEMARKS BUSINESS AREAS
Department of Transportation · Federal Railroad Administration
IGF::OT::IGF RAILROAD ARTIFICIAL INTELLIGENCE INTRUDER LEARNING SYSTEM (RAIILS) PROPOSAL FOR THE PROCESSING OF DATA FROM HETEROGENEOUS SENSING PLATFORMS FOR THE PURPOSE OF IMPROVED DETECTION OF RAILROAD TRESPASSERS IN REAL-TIME USING CONVOLUTIONAL NEURAL NETWORKS (CNNS). FOR A SYSTEM EQUIPPED WITH CO-LOCATED NATURAL COLOR RED/GREEN/BLUE (RGB) AND THERMAL INFRARED CAMERAS, WE PROPOSE A DEEP LEARNING AI ARCHITECTURE TO DO ON-PLATFORM SENSOR FUSION. SUCH A SYSTEM WILL ALLOW FOR THE DETECTION OF RAILROAD TRESPASSERS BOTH IN REAL-TIME AND DURING THE ENTIRE 24HR CYCLE. THE PROPOSED ARCHITECTURE WOULD LEVERAGE BOTH THE RGB AND INFRARED DATA WHEN AVAILABLE AND WOULD CHANGE TO INFRARED ONLY WHEN ENVIRONMENTAL/TIME-OF-DAY CONDITIONS DO NOT PERMIT THE USE OF THE VISIBLE-SPECTRUM DATA.
$280K
Department of Health and Human Services · National Institutes of Health
THE PRIMARY OBJECTIVE OF THE PROPOSED PHASE I WORK IS TO FURTHER DEVELOP A PROOF-OF-CONCEPT (POC) MACHINE LEARNING APPROACH TO DETECT ILLEGAL OPIOID SELLERS AND DEVELOP IT INTO AN MVP THAT CAN COLLECT INFORMATION ON, AS WELL AS IDENTIFY, CATEGORI
Department of Health and Human Services · National Institutes of Health
ITAC - SR/SPA TASK ORDER 0004 - SR AND SPA MACHINE LEARNING MODEL SUPPORT AND ENHANCEMENTS