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Field-Adaptable Chemosemsor Solutions with Local Neuromorphic Intelligence

Project: Research

Abstract & Details

Description

Award ID: 49100425C0019 - Phase 2

Law enforcement and U.S. Customs and Border Protection (CBP) agents face an unprecedented challenge to reliably detect illicit substances in counterfeit pills at the point of seizure. Alarmingly, 70% of pills confiscated last year contained fatal doses of fentanyl. Complex mixtures used to mask minute amounts of lethal drugs and the ongoing creation of new illicit substances by bad actors challenges current analytical equipment. CogniSens is a computing platform that uniquely enhances chemical sensor function and usability in real-world scenarios. Cornell University has developed novel algorithms ported onto Intels compact computing chip (Loihi 2) to create CogniSens. The algorithm and the chip leverage neuromorphic computing, designed to mimic how the brain rapidly learns, adapts to new environments and makes decisions using very little energy. When combined with a sensitive, portable chemical detector, the CogniSens platform will enable the in-field drug identification needed to disrupt the illicit substance supply chain. In Phase 2, Teledyne FLIR and Cornell University will provide a solution by integrating the CogniSens platform into an equally disruptive and novel field-portable opioid monitor developed by Teledyne FLIR and the U.S. Department of Defense. The opioid monitor uses two-dimensional tandem mass spectrometry (2D MS/MS), which has proven sensitivity to low concentrations of fentanyl that other detectors lack and excels at examining complex mixtures in less than five seconds. The CogniSens-2D MS/MS combines chemical fingerprinting with cognition-like analysis to classify challenging samples on-device and provide automated answers for the end user. The resulting CogniSens-2D MS/MS instrument will represent a new generation of tools for operators and field agents fighting the war against illegal drug trafficking by enabling a user-friendly, portable detection and deconvolution of complex drug mixtures.

NSF Program Director: Edda “Floh” Thiels
StatusActive
Effective start/end date07/11/2507/10/28

Funding

  • Other Programs (Technology): $5,000,000.00

Active Fiscal Year

  • FY2028
  • FY2027
  • FY2026
  • FY2025

Start Fiscal Year

  • FY2025

TIP Programs

  • Other Programs (Technology)

Key Technology Areas

  • Artificial Intelligence
  • (confidence score: 98%)
  • Biotechnology
  • (confidence score: 86%)
  • Advanced Computing and Semiconductors
  • (confidence score: 100%)
  • Disaster Prevention and Mitigation
  • (confidence score: 100%)

Technology Foci

  • Synthetic Biology
  • (confidence score: 94%)
  • Semiconductors
  • (confidence score: 96%)
  • Machine Learning (ML)
  • (confidence score: 96%)
  • Disaster Prevention and Mitigation (Broad)
  • (confidence score: 100%)

Current Congressional District

  • District n. 03 of Oklahoma

United States

  • Oklahoma

Core Based Statistical Area (CBSA)

  • Stillwater, OK

County

  • County: Payne, OK

EPSCoR Jurisdiction

  • Yes

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