Advancing Computing Technology and Applications
ID: FA875019S7010Type: Presolicitation
Overview

Buyer

DEPT OF DEFENSEDEPT OF THE AIR FORCEFA8750 AFRL RIKROME, NY, 13441-4514, USA

NAICS

Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) (541715)

PSC

NATIONAL DEFENSE R&D SERVICES; DEPARTMENT OF DEFENSE - MILITARY; APPLIED RESEARCH (AC12)
Timeline
    Description

    Presolicitation DEPT OF DEFENSE DEPT OF THE AIR FORCE is seeking innovative research to explore and develop computational capabilities for addressing dynamic mission requirements imposed by Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance (C4ISR) and Cyber applications and size, weight, and power (SWaP) constrained Air Force Platforms. The goal is to advance computing technology and applications, including high performance embedded computing, machine learning technology, neuromorphic systems, and architectures that can provide dramatic improvements in performance/cost of systems. The total funding for this opportunity is approximately $99.9M, with multiple awards anticipated. The type of instruments that may be awarded include procurement contracts, grants, cooperative agreements, or other transactions. Interested parties should submit white papers to the BAA Manager, Courtney Raymond, at courtney.raymond.1@us.af.mil.

    Point(s) of Contact
    Amber BuckleyContracting Officer
    (315) 330-3605
    amber.buckley@us.af.mil
    Files
    Title
    Posted
    The document appears to be a jumbled collection of text fragments and code snippets, lacking coherence or a clear narrative. It includes references to various elements such as data types, functions, user interface components, and programming concepts, alongside mentions of tasks and processes, but does not provide any structured information or complete ideas. Consequently, it is challenging to extract a coherent summary or meaning from the content, as it is incomplete and fragmented.
    The document appears to be a distorted and corrupted text fragment with numerous incomplete thoughts and overlapping code snippets related to various topics including data usage, management systems, and user interfaces. It contains references to programming variables, user permissions, and methods to filter data, but lacks coherent structure or clear communication, making it difficult to extract any meaningful insights or summaries. Overall, it reflects significant issues with formatting and content organization.
    The text appears to be a fragmented representation of various discussions, technical notes, and administrative details that include programming references, document formatting, and mentions of various functionalities and services crossing multiple contexts. It discusses topics such as data management, user interfaces, and possibly project management, but lacks coherent structure and clear messaging due to its jumbled nature. Overall, it reflects a mix of programming jargon, idiomatic expressions, and possibly outdated references without a distinct focus.
    The document appears to contain a mix of various codes and fragmented text regarding administrative and organizational processes. It discusses issues like access controls, registration processes, and document management, while indicating the importance of compliance and proper procedural adherence. The content is heavily obscured and lacks coherent structure, making it difficult to extract specific actionable information.
    The text appears to be a jumbled and fragmented mixture of code, data, and unrelated phrases with no clear structure or coherent meaning. It references various topics including document handling, data elements, and possible governmental or organizational contexts, but lacks a cohesive narrative or summary. Further clarification or a more structured document is needed to provide a meaningful summary.
    The text appears to be a fragmented and corrupted set of data, which does not contain coherent information or context. It includes disjointed phrases, symbols, and characters from various languages, making it impossible to derive meaningful content or summarize effectively.
    The document appears to contain mixed and garbled text, including various terms related to data, government operations, and software elements. It references issues such as data compliance, event tracking, and user interfaces but lacks coherence and context for a clear understanding. Overall, it is difficult to extract specific actionable insights due to the fragmented nature of the content.
    The document appears to be a fragmented and nonsensical collection of text potentially related to various topics, including administrative tasks, filters, tracking, and user data management. It includes multilingual phrases and characters, indicating possible errors in processing or extraction. Due to the lack of coherent content or a central theme, the text does not provide a clear summary or actionable information.
    The document appears to be a corrupted or jumbled text, potentially containing segments of code, terms, or names in multiple languages mixed inconsistently. Given its disjointed nature and the presence of technical terms, it lacks a coherent narrative or clear subject matter. It is important to provide a properly formatted document to enable an accurate summary.
    Lifecycle
    Title
    Type
    Presolicitation
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