SOLICITATION NOTICE
A -- Teaching AI to Leverage Overlooked Residuals (TAILOR)
- Notice Date
- 4/29/2019
- Notice Type
- Synopsis
- NAICS
- 541715
— Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Contracting Office
- 675 North Randolph Street <br> Arlington, VA 22203
- ZIP Code
- 22203
- Solicitation Number
- DARPA-PA-18-02-07
- Response Due
- 5/28/2019
- Archive Date
- 6/27/2019
- Point of Contact
- BAA Coordinator
- Small Business Set-Aside
- N/A
- Description
- The Defense Advanced Research Projects Agency (DARPA) is issuing an Artificial Intelligence Exploration (AIE) opportunity inviting submissions of innovative research proposals to investigate new, third wave AI approaches that leverage residuals to contextually reason, and make counterfactual predictions to better account for individual differences with the goal of enhancing the safety and efficacy of human performance interventions. The purpose of the Teaching AI to Overlook Leveraged Residuals (TAILOR) program is to explore whether and, if so to what extent, third wave AI methods can predict which human performance optimization (HPO) intervention(s) will be most effective for individuals and teams. The goal of the TAILOR program is to develop a prototype counterfactual prediction approach for tailoring individualized HPO interventions. NOTE: THIS NOTICE WAS NOT POSTED TO FEDBIZOPPS ON THE DATE INDICATED IN THE NOTICE ITSELF (29-APR-2019); HOWEVER, IT DID APPEAR IN THE FEDBIZOPPS FTP FEED ON THIS DATE. PLEASE CONTACT 877-472-3779 or fbo.support@gsa.gov REGARDING THIS ISSUE.
- Web Link
-
Link To Document
(https://www.fbo.gov/spg/ODA/DARPA/CMO/DARPA-PA-18-02-07/listing.html)
- Record
- SN05295301-F 20190501/190429230008 (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
(may not be valid after Archive Date)
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