Organoid Cytomorphic Intelligence Resulting from Convergent Understanding and Information Transfer (O-Circuit) DARPA-PS-26-28
Summary
AI-generated · May 02, 2026Develop methods to improve learning, inference, and computational memory of neural tissue systems to create an integrated biological processing unit (BPU) that enables a new sense‑compute‑act paradigm for edge applications. This work targets energy-efficient AI/ML at the edge in austere environments where semiconductor-based computation is challenged by power demands, and it will explore unconventional computing concepts such as synthetic biological intelligence to provide practical training and inference capabilities.
The objective is to deliver a BPU architecture that reduces power consumption during training and inference and supports edge sensing, computation, and actuation for Department of War (DoW) applications, bridging biology and computation to enable a practical edge computing platform.
While semiconductor-based computation is readily deployed in well-resourced environments, it is challenged by sustained applications at the edge due to inherent power inefficiencies. This is a particular limitation for the Department of War (DoW) when operating in austere environments, especially when using advanced artificial intelligence and machine learning (AI/ML) applications with high energy demands for both training and inference. New unconventional computing concepts, such as synthetic biological intelligence, have the potential to fundamentally address these limitations but do not yet possess the necessary training and inference capabilities for practical applications. To meet these needs, the O-Circuit program will explore methods for improving the learning, inference, and computational memory of neural tissue systems to develop an integrated biological processing unit (BPU) that establishes a new paradigm for sense-compute-act for edge applications.
From Solicitation posted on May 01, 2026Notice history
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Solicitation LATEST Posted May 01, 2026
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