Opportunity ID: 46800

General Information

Document Type: Grants Notice
Funding Opportunity Number: DARPA-BAA-09-40
Funding Opportunity Title: Deep Learning (DL)
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Cooperative Agreement
Grant
Other
Procurement Contract
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards:
Assistance Listings: 12.910 — Research and Technology Development
Cost Sharing or Matching Requirement: No
Version: Synopsis 2
Posted Date: Apr 15, 2009
Last Updated Date: May 06, 2009
Original Closing Date for Applications: Apr 14, 2010
Current Closing Date for Applications: Apr 14, 2010
Archive Date: May 14, 2010
Estimated Total Program Funding:
Award Ceiling:
Award Floor:

Eligibility

Eligible Applicants: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility”
Additional Information on Eligibility:

Additional Information

Agency Name: DARPA – Information Processing Technology Office
Description: DARPA is soliciting innovative research proposals in the area of deeply layered machine learning or, simply, Deep Learning (DL). Over the course of the envisioned program, performer teams will build a universal machine learning engine that uses a single set of methods in multiple layers (at least three internally) to generate progressively more sophisticated representations of patterns, invariants, and correlations from data inputs. The engine is expected to be applicable to multiple input modalities given only changes to the inputs’ preprocessing, and is expected to be able to learn important characteristics of the inputs and produce useful representations solely on the basis of unlabeled inputs. Accomplishing many of the tasks set by the program will require that the engine be able to produce and utilize sophisticated spatio-temporal representations.
Link to Additional Information: DARPA-BAA-09-40 at FedBizOpps
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

Josh Alspector, Program Manager
Email:DARPA-BAA-09-40@darpa.mil

Version History

Version Modification Description Updated Date
May 06, 2009
May 06, 2009

DISPLAYING: Synopsis 2

General Information

Document Type: Grants Notice
Funding Opportunity Number: DARPA-BAA-09-40
Funding Opportunity Title: Deep Learning (DL)
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Cooperative Agreement
Grant
Other
Procurement Contract
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards:
Assistance Listings: 12.910 — Research and Technology Development
Cost Sharing or Matching Requirement: No
Version: Synopsis 2
Posted Date: Apr 15, 2009
Last Updated Date: May 06, 2009
Original Closing Date for Applications: Apr 14, 2010
Current Closing Date for Applications: Apr 14, 2010
Archive Date: May 14, 2010
Estimated Total Program Funding:
Award Ceiling:
Award Floor:

Eligibility

Eligible Applicants: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility”
Additional Information on Eligibility:

Additional Information

Agency Name: DARPA – Information Processing Technology Office
Description: DARPA is soliciting innovative research proposals in the area of deeply layered machine learning or, simply, Deep Learning (DL). Over the course of the envisioned program, performer teams will build a universal machine learning engine that uses a single set of methods in multiple layers (at least three internally) to generate progressively more sophisticated representations of patterns, invariants, and correlations from data inputs. The engine is expected to be applicable to multiple input modalities given only changes to the inputs’ preprocessing, and is expected to be able to learn important characteristics of the inputs and produce useful representations solely on the basis of unlabeled inputs. Accomplishing many of the tasks set by the program will require that the engine be able to produce and utilize sophisticated spatio-temporal representations.
Link to Additional Information: DARPA-BAA-09-40 at FedBizOpps
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

Josh Alspector, Program Manager
Email:DARPA-BAA-09-40@darpa.mil

DISPLAYING: Synopsis 1

General Information

Document Type: Grants Notice
Funding Opportunity Number: DARPA-BAA-09-40
Funding Opportunity Title: Deep Learning (DL)
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Cooperative Agreement
Grant
Other
Procurement Contract
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards:
Assistance Listings: 12.910 — Research and Technology Development
Cost Sharing or Matching Requirement: No
Version: Synopsis 1
Posted Date: May 06, 2009
Last Updated Date:
Original Closing Date for Applications:
Current Closing Date for Applications: Apr 14, 2010
Archive Date: May 14, 2010
Estimated Total Program Funding:
Award Ceiling:
Award Floor:

Eligibility

Eligible Applicants: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility”
Additional Information on Eligibility:

Additional Information

Agency Name: DARPA – Information Processing Technology Office
Description: DARPA is soliciting innovative research proposals in the area of deeply layered machine learning or, simply, Deep Learning (DL). Over the course of the envisioned program, performer teams will build a universal machine learning engine that uses a single set of methods in multiple layers (at least three internally) to generate progressively more sophisticated representations of patterns, invariants, and correlations from data inputs. The engine is expected to be applicable to multiple input modalities given only changes to the inputs’ preprocessing, and is expected to be able to learn important characteristics of the inputs and produce useful representations solely on the basis of unlabeled inputs. Accomplishing many of the tasks set by the program will require that the engine be able to produce and utilize sophisticated spatio-temporal representations.
Link to Additional Information: DARPA-BAA-09-40 at FedBizOpps
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

Josh Alspector, Program Manager
Email:DARPA-BAA-09-40@darpa.mil

Folder 46800 Full Announcement-1 -> deep learning baa apr 27.pdf

Packages

Agency Contact Information: Josh Alspector, Program Manager
Email: DARPA-BAA-09-40@darpa.mil
Who Can Apply: Organization Applicants

Assistance Listing Number Competition ID Competition Title Opportunity Package ID Opening Date Closing Date Actions
12.910 PKG00011636 Apr 14, 2009 Apr 14, 2010 View

Package 1

Mandatory forms

46800 RR_SF424-1.1.pdf

Optional forms

46800 RR_FedNonFedBudget-1.1.pdf

46800 RR_FedNonFed_SubawardBudget-1.2.pdf

46800 RR_OtherProjectInfo-1.1.pdf

46800 RR_Budget-1.1.pdf

46800 RR_KeyPersonExpanded-1.1.pdf

46800 RR_PerformanceSite-1.1.pdf

46800 RR_SubawardBudget-1.2.pdf

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