Federal grant · cooperative agreement (b)
Federal Agency Name: Defense Advanced Research Projects Agency (darpa), Defense Sciences Office (DSO) Funding Opportunity Title: Young Faculty Award (YFA) Funding Opportunity Number: DARPARA2501CATALOG of Federal Domestic Assistance (CFDA) Number(s): 12.910 Research and Technology Developmentprogram Description: Darpa Is Soliciting Innovative Research Proposals in the Areas of Interest to the Following Darpa Technical Offices: Defense Sciences Office (dso), Information Innovation Office (I2O), Microsystems Technology Office (mto), and the Tactical Technology Office (tto). Further Detail Regarding the Specific Technical Areas of Interest Can Be Found Below Under Open Office Topics. Proposed Research Should Investigate Innovative Approaches That Enable Revolutionary Advances in Science, Devices, or Systems. Specifically Excluded Is Research That Primarily Results in Evolutionary Improvements to the Existing State of Practice.executive Summary. Tactical Mobile Devices With Low Size,weight, and Power (SWAP) Deployedin Warfighting Scenarios Increasingly Require the Execution of Deep Neural Networks (DNNS) Toachieve Real-time Situational Awareness While Being Protected From Adversarial Machine Learningand Domain Shifts. to Proactively Incorporate Domains That the Mobile Device Is Expected to Encounterduring Its Mission, We Will Design Algorithms to Extract and Incorporate Domain-specificknowledge From Foundation Models Into a Domain-agnostic Low-swap DNN. After Deployment, Toaddress Domains That Were Not Accounted for Before Deployment, We Will Research Real-time Out-ofdistribution(ood) Detection Algorithms to Recognize and Remove Intentional Perturbations, as Wellas Real-time Knowledge Editing Algorithms That Will Surgically Modify the Low-swap DNN to Removelow-priority Domains and Include the Newly Encountered Domain. the Proposed Techniqueswill Be Evaluated Against the State of the Art With Low-swap Embedded Devices.
Committed
$500,000
Paid out
$194.9K
39%
Committed, not yet paid
$305.1K
61%
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