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ALGORITHM IMPROVEMENT PROGRAM

Active
AIP_2018Federal

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Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The Algorithm Improvement Program (AIP) is designed to enhance isotope identification algorithms by providing a streamlined yet effective approach for evaluating algorithm performance. This program aims to facilitate the comparison of various algorithms, helping to pinpoint their specific strengths and weaknesses. By fostering advancements in these algorithms, the program supports improved accuracy and reliability in isotope identification tasks. The contract is managed by the Department of Homeland Security’s Contract Administration Services Division, based in Washington, DC, under NAICS code 334511. Key points of contact include Contracting Officer Heather Poindexter and Contract Specialist Tanzy Flakes. The notice was posted on May 18, 2018, and primarily serves as an informational announcement without specifying a set-aside type or detailed location for performance. The program emphasizes collaboration and analysis within the field of algorithm development to achieve more effective isotope identification solutions.

General Info

Algorithm Improvement Program enhances isotope identification accuracy via performance evaluation and comparison.

NAICS

334511 - Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing

Place of Performance

DC

Set-Aside

NONE

Documents

1

Special_Notice_AIP_Program.pdf

PDF

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Posted

special-notice

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Organization & Contact Information

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AgencyDepartment Of Homeland Security → Contract Administration Svcs Division
Contacts2 people available
OfficeWASHINGTON, DC, 20528, USA
Office AddressWASHINGTON, DC, 20528, USA
Contacts
Heather PoindexterContracting Officer
Tanzy FlakesContract Specialist

Full Description

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THIS SPECIAL NOTICE IS FOR INFORMATION ONLY The purpose of the Algorithm Improvement Program (AIP) is to foster potential improvements in isotope identification algorithms and to provide a simple yet powerful method for analyzing algorithm performance, enabling comparison of algorithms and the identification of areas of comparative strength and weakness in an algorithm's performance.

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