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DARPA Announces Biological Processing Units Research Program for Edge Computing

The purpose of this Special Notice (SN) is to provide public notification of additional research areas of interest to the Defense Advanced Research Projects Agency (DARPA) Biological Technologies Office (BTO), specifically for the forthcoming Organoid Cytomorphic Intelligence Resulting from Convergent Understanding and…

Source ID: f8fd222be5f046b887fb4759b2d7d123

Scope overview

The purpose of this Special Notice (SN) is to provide public notification of additional research areas of interest to the Defense Advanced Research Projects Agency (DARPA) Biological Technologies Office (BTO), specifically for the forthcoming Organoid Cytomorphic Intelligence Resulting from Convergent Understanding and Information Transfer (O-CIRCUIT) program.

Modern computation involving AI training and inference has significant energy requirements, especially at the edge. This affects everything from operational longevity to compute capacity and data transfer latency which impacts warfighter performance at the edge.

O-CIRCUIT envisions addressing these challenges by developing unconventional biological processing units (BPUs) for edge learning and inference with minimal (mWh/day) power draw as well as extending these BPUs to sensing physical stimuli and outputting instructions such as directing drone navigation. When released, the solicitation will be made available at https://sam.gov/.

Statusopen
CategoryOther
CountryUnited States
Publish dateMar 3, 2026
Submission deadlineMar 31, 2026
Estimated value
Notice typetender_notice
Sourceus-sam-opportunities
BuyerDEPT OF DEFENSE.DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA).DEF ADVANCED RESEARCH PROJECTS AGCY
Buyer websitehttps://sam.gov/
CityARLINGTON

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Contact nameDr. Jeffrey Zaleski, DARPA/BTO
EmailO-CIRCUIT@darpa.mil
OrganizationDEPT OF DEFENSE.DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA).DEF ADVANCED RESEARCH PROJECTS AGCY

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Tags & Signals

biological processing unitsedge computingDARPA researchAI trainingenergy efficiencyunconventional computingbiological technologiesdefense innovation
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