Search results for: artificial intelligence and machine

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  • Artificial Intelligence - Machine Learning Capabilities

    Type : Bid Notification

    Due : 30 Apr, 2024 (4 days ago)
    Posted : 1 month ago
    Started : 25 Mar, 2024 (1 month ago)

    Overview/Purpose/ Description of Procurement The purpose of this RFI is to enhance DISA’s Defensive Cyber Operations (DCO) using Artificial Intelligence (AI) and Machine Learning (ML) models, tools, and services. DISA is a United States Department of Defense combat support agency that is composed of more than 7,000 military and civilian employees.

    From: Federal Government (Federal)

  • ARTIFICIAL INTELLIGENCE THROUGH MACHINE LEARNED MODELING (AIMM)

    Type : Contract

    Due : 27 Sep, 2027 (in about 3 years)
    Posted : 7 months ago
    Started : 28 Sep, 2023 (7 months ago)

    ARTIFICIAL INTELLIGENCE THROUGH MACHINE LEARNED MODELING (AIMM) Solicitation ID/Procurement Identifier: 75FCMC22A0018 Ultimate Completion Date: Mon Sep 27 17:00:00 GMT 2027

    From: Federal Procurement Data System (Federal)

  • Artificial Intelligence and Machine Learning

    Type : Bid Notification

    Due : 30 Jun, 2022 (22 months ago)
    Posted : 23 months ago
    Started : 31 May, 2022 (23 months ago)

    Artificial Intelligence and Machine LearningThe US Naval Surface Warfare Center, Dahlgren Division (NSWCDD) seeks Cooperative Research and Development Agreement (CRADA) Partners that possess the expertise, capabilities, facilities, and experience in the field of Artificial Intelligence and Data Sciences. 

    From: Federal Government (Federal)

  • Industry Day - Artificial Intelligence and Machine Learning

    Type : Bid Notification

    Due : 17 Oct, 2017 (about 6 years ago)
    Posted : about 6 years ago
    Started : 03 Oct, 2017 (about 6 years ago)

    ARL and the Algorithmic Warfare Cross Functional Team (AWCFT) are hosting an Industry day on October 24, 2017 to discuss this new topic, Artificial Intelligence (AI) and Machine Learning (ML), and invite all businesses engaged in AI/ML to submit their capabilities briefing (see website listed in the attached document for more information). 

    From: Federal Government (Federal)

  • Machine Learning and Artificial Intelligence GPU Cluster

    Type : Bid Notification

    Due : 12 Jan, 2022 (about 2 years ago)
    Posted : about 2 years ago
    Started : 15 Dec, 2021 (about 2 years ago)

    UNLV is accepting proposals from qualified vendors to provide a Machine Learning and Artificial Intelligence GPU Cluster as further specified in the attached document(s). Questions regarding this IFB must be submitted under the questions tab of this announcement. The last day to submit questions is Tuesday, December 21, 2021 at 3:00 P.M. The last day for addenda is Thursday, December 23, 2021 at 3:00 P.M.

    From: Southern Nevada Regional Housing Authority (State)

  • Machine Learning and Artificial Intelligence Capabilities

    Type : Bid Notification

    Due : 19 Jul, 2019 (about 4 years ago)
    Posted : about 4 years ago
    Started : 08 Jul, 2019 (about 4 years ago)

    The Strategic Capabilities Office (SCO) is seeking market research on state of the art enabling technologies in the areas of Machine Learning and Artificial Intelligence (ML/AI) capabilities.THIS IS A REQUEST FOR INFORMATION (RFI) ONLY. This RFI is solely for information and planning purposes - it does not constitute a Request for Proposal (RFP) or a promise to issue an RFP in the future.

    From: Federal Government (Federal)

  • Request For Information for Advanced Battle Management System (ABMS) Cloud Based Command and Control (CBC2) Artificial Intelligence and ...

    Type : Bid Notification

    Due : 26 Apr, 2024 (8 days ago)
    Posted : 1 month ago
    Started : 01 Apr, 2024 (1 month ago)

    REQUEST FOR INFORMATION (RFI)Advanced Battle Management System (ABMS)Artificial Intelligence & Machine Learning Toolkit (AI/ML Toolkit)Cloud Based Command and Control (CBC2)This RFI is issued in accordance with Federal Acquisition Regulation (FAR) clause 52.215-3 and is published to obtain information for use by the Department of the Air Force, C3BM PEO, in support of ABMS CBC2 initiatives.

    From: Federal Government (Federal)