The Air Force is poised to save millions of dollars on the new radar systems it delivers to the warfighter.With support from the Air Force Small Business Innovation Research/Small Business Technology Transfer Program, San Diego-based Information Systems Laboratories Inc. developed a solution to...
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Information Systems Laboratories, Inc.
Company Information
Information
UEI: FAK5JKUKRXJ1
# of Employees: 79
Ownership Information
HUBZone Owned: No
Socially and Economically Disadvantaged: No
Woman Owned: No
Award Charts
Award Listing
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AI Deep Learning Tool for High-Fidelity Physics Simulations of Nuclear Reactor Systems
Amount: $198,746.00Nuclear reactors provide operators with hundreds of data channels that indicate the state of the reactor. During an accident, the flood of information from these channels can be overwhelming, making i ...
SBIRPhase I2022Department of Energy -
Cognitive Fully-Adaptive Radar (CoFAR) Scheduler
Amount: $749,737.00A Cognitive Fully Adaptive Radar (CoFAR) resource allocation must optimize the performance by balancing many competing functional requests for limited resources (e.g., energy, timeline, etc.) among ma ...
STTRPhase II2022Department of Defense Air Force -
A New Approach to the Testing & Evaluation of Advanced RF Applications of Deep Learning AI
Amount: $149,477.00The major advances in artificial intelligence (AI) in the past ~10 years have been the result of the progress in so-called deep learning (neural) networks (DLNs). Moreover, several recent Air Force (A ...
SBIRPhase I2022Department of Defense Air Force -
Multi-Physics Distributed Deep Learning (MP-DDL) for Multi-INT Fusion
Amount: $712,635.00The proverbial multi-INT “firehose” is well documented. There is simply too much data for any team of human analysts to effectively digest and process in real (actionable) time. Consequently, for ...
SBIRPhase II2021Department of Defense Air Force -
Multi-Mode Weapon Seeker Enhancement
Amount: $749,999.00Emerging Unmanned Air Systems (UASs) are challenging current surface-to-air and air-to-air missile seeker capabilities. They are highly maneuverable and can sustain accelerations of 20 ‘Gs’ or mor ...
SBIRPhase II2021Department of Defense Air Force -
Missile Seeker Automated Target Recognition using Artificial Intelligence
Amount: $46,498.00Emerging Unmanned Air Systems (UASs) are challenging current surface-to-air and air-to-air missile seeker capabilities. They are highly maneuverable and can sustain accelerations of 20 ‘Gs’ or mor ...
SBIRPhase I2021Department of Defense Air Force -
Real-time Simulation of Radio Frequency (RF) Signal Returns from Complex Targets and Backgrounds
Amount: $139,968.00The ISL Real-Time ElectroMagnetic Environmental Simulator (RTEMES™) provides a system for verification of RF systems in laboratory, chamber, and test range environments. The system hardware is based ...
SBIRPhase I2021Department of Defense Navy -
Unintentional Terrain Modulation of a Pulse (UTMOP) for Next Generation Specific Emitter ID (SEI) and Pulse De-interleaving
Amount: $749,584.00specific emitter identification (SEI), specific emitter identification (SEI), SIGINT, pulse sorting, ELINT, Pulse Deinterleaving, radar warning receiver (RWR)
SBIRPhase II2021Department of Defense Navy -
Deep Learning Sensor Technology for Safe Flying Car Operations
Amount: $149,935.00Sensor technology that enables safe takeoff, landing, navigation, and Sense & Avoid (SAA) flight is paramount for Urban Air Mobility (UAM). The approach must be all-weather, day-night, low C-SWaP, and ...
STTRPhase I2021Department of Defense Air Force -
Sensor Technology for Safe Urban Air Mobility
Amount: $749,931.00Sensors and trusted autonomy are as important to the future of Flying Cars as safe and reliable propulsion systems. The recent autonomous car tragedies indicate the gravity of the matter. And the incr ...
STTRPhase II2021Department of Defense Air Force
