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Details: Updated Attachment To Reflect A Change To Page 40, Removing The Incorrect Hrpo And To Highlight The Email Address For Submissions,ai2c_baa_submissions@army.mil Throughout The Attachment. updated Attachment To Reflect Title Change From W52p1j-23-b-ai2c To W519tc-24-s-ai2c. see Attached Baa For Full Details. this Broad Agency Announcement (baa), For The Army Artificial Intelligence Integration Center (ai2c), Is Issued Under The Provisions Of Paragraph 6.102(d)(2) And 35.016 Of The Federal Acquisition Regulation (far), Which Provides For The Acquisition Of Basic, Applied, And Advanced Research And That Part Of Development Not Related To The Development Of A Specific System Or Hardware Procurement. This Will Be Done Through The Competitive Selection Of Proposals, And 10 U.s.c. 4001, 10 U.s.c. 4021, And 10 U.s.c. 4022, Which Provide The Authorities For Issuing Awards Under This Announcement For Basic, Applied, And Advanced Research. Proposals Submitted In Response To This Baa And Selected For Award Are Considered To Be The Result Of Full And Open Competition And In Full Compliance With The Provisions Of Public Law 98-369, "the Competition In Contracting Act Of 1984" And Subsequent Amendments. the Army Artificial Intelligence Integration Center (ai2c) Is Seeking Artificial Intelligence Research And Development Whitepapers And Proposals In Support Of New Technologies And Translational Research-based Approaches That Support The Identification, Alignment, And Exploitation Of Basic, Applied, And Advanced Research. this Baa May Be Used To Award Far Based Instruments (e.g., Procurement Agreements) Or Instruments Not Subject To The Far (e.g., Grants, Cooperative Agreements, Technology Investment Agreements, And Other Transactions). Those Instruments Not Subject To The Far May Be Referred To As Assistance Agreements In This Baa. Ai2c Will Consider A Wide Range Of Funding Constructs Which Might Include, But Are Not Limited To, Government Funding, Cost Sharing, In-kind Labor Or Facility Sharing By All Parties, Or Any Other Allowable Mechanism. Applicants May Propose Cost Sharing Approaches, But They Are Not Required. Ai2c Envisions Opportunities To Engage In Other Types Of Collaboration Agreements Where No Funds Are Exchanged, Such As Cooperative Research And Development Agreements (cradas) Which Are Negotiated Separately From This Baa. to Be Eligible For An Award Under This Announcement, A Prospective Awardee Must Meet Certain Minimum Standards Pertaining To Financial Resources And Responsibility, Ability To Comply With The Performance Schedule, Past Performance, Integrity, Experience, Technical Capabilities, Operational Controls, And Facilities. In Accordance With Federal Statutes, Regulations, And Department Of Defense (dod) And Army Policies, No Person On Grounds Of Race, Color, Age, Sex, National Origin, Or Disability Shall Be Excluded From Participation In, Be Denied The Benefits Of, Or Be Subjected To Discrimination Under Any Program Or Activity Receiving Financial Assistance From The Army. Areas Of Interest 1. Autonomous Platforms the Army Is Interested In Research In Autonomous Ground And Air Vehicles, Which Must Operate In Open, Urban, And Cluttered Environments. Robotics And Autonomous Systems Regardless Of Their Missions Require Similar Concepts And Technologies Including: ability To Move In Cluttered, Irregular, Urban, And Underground Environments. ability To Move Effectively In Contested Environments And Survive Attacks. technologies To Enable Low Electromagnetic And Physical Profiles. architectures To Enable Autonomous Learning And Adaptation Under Dynamic Conditions. sensing Methods To Detect Obscured And Small Targets And To Characterize Terrain Obstacles. autonomous Ground And Air Structures, Propulsion, And Mobility Components. technologies To Significantly Reduce Logistical Burdens And/or Make Them Autonomous. ability To Have Multiple Land And Air-based Platforms Collaborate To Accomplish Complex Goals Autonomously. 2. Artificial Intelligence And Machine Learning Algorithms (ai/ml) the Army Is Interested In Core Algorithmic Improvements Such As: scaling Machine Learning Methods To Operate On Larger Data Sets In Shorter Periods Of Time And/or With Reduced Computation, Memory, And/or Power Requirements. improving The Data Efficiency Of Learning Algorithms (e.g., Low-shot, Zero- Shot Learning). developing Foundation Models Across Multiple Modalities Such As Language, Vision, And Segmentation. adapting Existing Foundation Models To Novel Tasks. improving Methods For Collecting, Labeling, Managing, And Tracking Data And The Models Learned From Them. 3. Ai/ml Decision Support the Army Is Interested In Research On Ai Algorithms And Systems To Improve Decision Making Across All Echelons Including: core Reinforcement Learning, Game Theoretic, Optimal Control Algorithms. algorithms For Improved Online, Operational Decision Making. algorithms For Improved Offline Strategic Planning Including Tactics And Portfolio Optimization Of Assets. algorithms For Increased Autonomy And Speed In Decision Making. 4. Human-ai Integration the Army Is Interested In Ai/ml Research In Areas Which Can Reduce The Cognitive Burden On Humans And Improve Overall Performance Through Human-machine Integration. Ai/ml Research Is Needed In Areas Such As: speech And Language Algorithms That Support More Efficient Human-machine Integration. algorithms That Raise The Level Of Autonomy In Systems (i.e., Increase The Number And Size Of Tasks That Can Be Accomplished Without Human Input And/or Reduce The Level Of Details Required In Human Commands To Machines). methods To Process And Summarize Large Amounts Of Data For Human Analysis. robust And Rigorous Methods For Evaluating The Outputs Of Complex Ai Systems. methods For Understanding And Explaining Ai/ml Results And The Uncertainty Of Those Results. understanding The Impacts Of Ai/ml On Human Decision Making. ethical Considerations For Human-machine Integrated Formations In High Risk And Complex Environments. quantitative Approaches To Measure Ethical Compliance Of Ai Systems. methods To Train Users And Developers At Various Technical Skill-levels To Interact And Use Ai And Ml More Effectively. techniques To Investigate Human And Non-human Behavior And Interactions In Various Online Social Settings. 5. Synthetic Environments the Army Is Interested In Research That Enables Improved Situational Awareness And The Visualization And Navigation Of Large Data Sets To Enhance Operational Activities And Training And Readiness. Research Is Needed In The Visualization Of Data In Following Areas: novel Visualization And Synthetic Environment Approaches To Enable Improved Training synthetic Environments And Networked Instrumentation Approaches For Virtual-live Validation Of Concepts And Prototypes 6. Distributed Ai the Army Is Interested In Effectively Leveraging Modern Ai And Ml Techniques For Both Enterprise And Tactical Applications. Research Is Needed In The Areas Related To The Following: methods For Governing A Large Portfolio Of Distributed Ml Models. algorithms For Efficiently Leveraging Hardware Across A Large, Heterogeneous Network Of Enterprise And Tactical Computer Systems For Various Ai And Ml Tasks. methods For Effective Multi-agent Collaboration And Multi-agent Systems. techniques To Attack And Compromise Ai And Ml Systems. techniques And Best Practices For Defending Ai And Ml Models And Infrastructure From Attacks. improve Ml Performance Of Inference And Training On Small, Rugged Edge Devices. cyber Protection Technologies, Methodologies, And Concepts To Protect Army Systems, Especially In The Context Of Distributed Systems. 7. Underpinning Methodologies the Army Is Interested In Methodologies, Frameworks, Tools, Facilities, Techniques, And Experimentation Concepts, Which Underpin And Enable Advanced Research And Development, Including Those Which Enhance The Following: collection, Standardization, Transformation, And Maintenance Of Data To Focus Research And Validate Concepts. rapid Modeling, Development, And Assessment Of Technologies Across Widely Distributed Research Teams. integrate Innovative Technology Applications Into Current Or Future Warfighting Systems, Applications, And Analysis Systems To Assess The Potential Operational Effectiveness Of Novel New Technology Elements. frameworks That Integrate Testing And Evaluation Into The Artificial Intelligence Workflow. 8. Special Topics as A Part Of This Baa, Ai2c Will Post Specific Areas With Strong Potential For Funding As An Amendment To This Baa On Sam.gov. These Topics Will Generally Have Clear Deadlines For Submission And May Have Other Specific Preparation Guidelines.

Details: Draft Rfp Request For Feedback family Of Maintenance Trainers Product Line (fmt Pl) introduction: the U.s. Army Contracting Command - Orlando (acc-orlando) Is Issuing This Ssn On Behalf Of The U.s. Army Program Executive Office For Simulation, Training, And Instrumentation (peo Stri), Assistant Program Manager (apm), Family Of Maintenance Trainers Product Line (fmt Pl) Who Has A Requirement For Technology Refresh, Concurrency Upgrades, Development, And Production Of Maintenance Training Simulation Systems That Provide Institutional And Operational Unit Maintenance Training. Additionally, There Is A Requirement For Configuration Management, Software Updates, And Integration Support For The Fmt Common Core. telephone Inquiries Will Not Be Accepted Or Acknowledged, And No Feedback Or Evaluations Will Be Provided To Companies Regarding Submissions. disclaimer: This Sources Sought Is For Informational Purposes Only. This Is Not A Request For Proposal (rfp) To Be Submitted. It Does Not Constitute A Solicitation And Shall Not Be Construed As A Commitment By The Government. Responses In Any Form Are Not Offers And The Government Is Under No Obligation To Award A Contract As A Result Of This Announcement. No Funds Are Available To Pay For Preparation Of Responses To This Announcement. Any Information Submitted By Respondents To This Announcement Is Strictly Voluntary. The Government Reserves The Right To Revise The Rfp And Any Attachments, Prior To Release Of The Final Rfp. program Background: since 2000, The Army Has Fielded Multiple Maintenance Training Systems (mts) To Support Training In Critical Unit Level Maintenance Tasks Required For Various Combat/tactical Platforms. Stakeholder Customers Have Individually Funded Peo Stri For The Acquisition, Development, Fielding, And Support Of Maintenance Training Devices Until The Fmt Product Line Was Established In 2019. the Fmt Pl Utilizes A Government Owned Architecture And A Common Software And Hardware Baseline To Provide Skill Level Development For System Operation, Fault Diagnosis, Troubleshooting, Adjustments, Removal And Replacement And Repair Tasks For Various Military Platforms. the Fmt Pl Consists Of Four Elements To Provide Training Capability: common Core Is The Common Hardware Architecture And Software Baseline That Provides The Infrastructure, Functionality, And Capabilities To Support Maintenance Training Of Military Platforms Across The Fmt Product Line Portfolio Of Training Systems. diagnostic Troubleshooting Trainers (dtt) Are Computer-based System Simulations Which Provide Interactive Visual And Audio Maintenance Training In A Virtual Classroom Environment; No Actual Physical Vehicle Hardware Is Employed. Navigation And Interaction With The Dtts Is Handled Via Keyboard, Mouse, And Touchscreen Inputs. part Task Trainers (ptt) Provide High Fidelity, System/subsystem Full-scale Representation And Allow Student Access To Hardware For Fault Isolation And Subsequent Repair Training Of Line Replaceable Units (lrus). hands On Trainers (hot) Are High Fidelity, System/subsystem Full Scale Representations Platform Which Include Multiple Subsystems And Are Operated In The Same Manner As The Ptts. the Fmt Product Line Currently Includes Maintenance Training For The Following Platforms: stryker (multiple Variants) abrams (multiple Variants) bradley joint Light Tactical Vehicle (jltv) armored Multi-purpose Vehicle (ampv) acquisition Strategy - Planning Information: 1. Contract Vehicle: The Government Anticipates On Awarding Indefinite Delivery/indefinite Quantity Multiple-award Contracts (idiq-macs). 2. North American Industry Classification System (naics): The Applicable Naics Code For This Requirement Is 333310 Commercial And Service Industry Machinery Manufacturing, With A Small Business Size Standard Of 1,000 In Number Of Employees. The Applicable Product Service Code (psc) Is 6910 - Training Aids. *note 01: The Current Sba Table Of Small Business Size Standards Was Updated 17 March 2023; Since The Beginning Of 2022, The Sba Has Regularly Updated The Table To Account For Inflation. Businesses Must Update Their Sam.gov Profiles In Order To Have Their Small Business Status Reflect The Most Current Small Business Size Standards. Until Updated, The Sam Profiles Will Continue To Display The Small Business Status Under Outdated Size Standards. *note 02: In Accordance With 13 C.f.r. 121.104, The Current Calculation For Dollar (monetary) Value Based Naics Codes Is Average Total Receipts Over The Last Five (5) Completed Fiscal Years *note 03: In Accordance With 13 C.f.r. 121.106, The Current Calculation For Employee Based Naics Codes Is Average Number Of Employees Used For Each Pay Period For The Preceding Completed 24 Calendar Months. 3. Contract Type: The Government Anticipates On Awarding A Contract With Firm Fixed Price And Cost Plus Fixed Fee Contract Type. Prior To Award Of A Task Order The Government Will Establish Wheather An Effort Will Be Ffp, Cpff Or A Hybrid Of Both. submission Details: interested Businesses Shall Submit Any Questions Or Comments Regarding The Draft Rfp And Its Attachements. Your Response To This Ssn Shall Be Electronically Submitted To The Acc-orlando Branch E-mail Via Usarmy.orlando.peo-stri.mbx.acc-orl-vts-it-branch@army.mil, No Later Than 8:30 A.m. (est) On 23 January 2024 And Reference Sam Notice Number And Title In The Subject Line Of The E-mail And On All Enclosed Documents. The Subject Of The Email Shall Be “fmt Draft Rfp”. These E-mails Are Capable Of Receiving 30mb Size E-mails With Attachments. Responses Shall Either Use Microsoft Office 2013 Compatible (.xlsx, .docx Or .pptx) Or Adobe Acrobat 9 Pro (.pdf) Formats And Utilize Times New Roman 12 Point Font Size. Information And Materials Submitted In Response To This Request Will Not Be Returned. All Information/materials Received In Response To This Notice That Are Marked Or Designated As Corporate Or Proprietary Will Be Fully Protected From Any Release Outside The Government. Do Not Submit Classified Material. written Responses To This Ssn Should Consist Of The Following: please Complete The Following Table And Include With Your Response: date: company Name: company Website: company Location: company Cage Code: poc Name: poc Email: poc Position: poc Phone Number: large Or Small Business: if A Small Business Please Indicate Any Applicable Socio-economic Status [i.e., 8a, Small Disadvantaged Business (sdb), Hubzone, Veteran-owned Small Business (vosb), Service-disabled Veteran-owned Small Business (sdvosb), Or Women-owned Small Business (wosb)]: u.s. Or Foreign Owned / Foci And Fcs Status: current Peo Stri Programs: *note (limitations On Subcontracting): If You Are A Small Business Interested In Being The Prime Contractor For This Effort, Please Be Advised That Far Clause 52.219-14 (limitations On Subcontracting) (deviation 2021-o0008) Was Updated In September 2021. The Current Clause Adds The Definition Of “similarly Situated Entity” And The 50% Calculation For Compliance With The Clause. Small Business Prime Contractors May Now Count “first Tier Subcontractor” Work Performed By A “similarly Situated Entity” As If It Were Performed By The Prime Contractor Itself. to Assist In Our Market Research And Set-aside Determination For This Effort, If You Are A Small Business Interested In Priming This Effort And Plan To Utilize A “similarly Situated Entity” To Meet The Limitations On Subcontracting Requirements, Please Identify The Name & Unique Entity Id/cage Code Of The Specific Firm(s) You Intend To Partner/subcontract With To Meet The Requirements As Well As Their Sb Size Status Under The Naics That You As The Prime Would Assign For Their Workshare.

Purchaser Name: Presidency of the Municipal Computer Center of Malaga | Public Concession for the Operation of the Municipal Pool Bar.

Purchaser Name: Scientific and Academic Computer Network State Research Institute | Admission of Dostawa Zakup I Dostawa Kluczy Safety U2f W along with the Adapterami

Purchaser Name: Management of the Municipal Computer Center of Malaga | Acquisition of Material for Municipal Network Equipment Repairs

Purchaser Name: Scientific and Academic Computer Network State Research Institute | "Dostawa Patchcordów Światłowodowych Uniboot, Patchcordów Światłowodowych I Patchcordów Miedzianych Ethernet" (3 Part)" (3) Part))"

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Purchaser Name: Scientific and Academic Computer Network State Research Institute | Poland – Medical Practice Services – Świadczenie Usług Medycznych Z Zakresu Medycyny Pracy Oraz Dodatkowej Opieki Medycznej Dla Pracowników Nask-pib W Ramach Miesięcznych Abonamentów

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