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Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) is a research program from DARPA that funds development of low-power electronic neuromorphic computers that scale to biological levels. Current computers are limited by the power required to process large volumes of data, while biological neural systems process complex information with very little power.
SyNAPSE supports a multidisciplinary approach coordinating hardware, architecture, and simulation development, including nanometer-scale electronic synaptic components, microcircuit development, and single-chip systems. Eligible participants are research institutions, universities, and defense contractors with capabilities in neuromorphic hardware design and computational neuroscience.
The program aims to develop next-generation computing systems inspired by the efficiency and adaptability of the mammalian brain.
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Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) Department of War organization. SyNAPSE: Systems of Neuromorphic Adaptive Plastic Scalable Electronics SyNAPSE: Systems of Neuromorphic Adaptive Plastic Scalable Electronics The vision for the Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) program is to develop low-power electronic neuromorphic computers that scale to biological levels.
Current computers are limited by the amount of power required to process large volumes of data. In contrast, biological neural systems, such as the brain, process large volumes of information in complex ways while consuming very little power. Power savings are achieved in neural systems by the sparse utilizations of hardware resources in time and space.
Since many real-world problems are power limited and must process large volumes of data, neuromorphic computers have significant promise. SyNAPSE supports a multidisciplinary approach coordinating aggressive technology development activities in hardware, architecture and simulation.
The initial phase of SyNAPSE developed nanometer-scale electronic synaptic components capable of varying connection strength between two neurons in a manner analogous to that seen in biological systems and simulated the utility of these synaptic components in core microcircuits that supported the overall system architecture.
Continuing efforts focus on hardware development through microcircuit development, single chip system development and multi-chip system development. In support of these hardware developments, SyNAPSE also seeks to develop increasingly capable architecture and design tools, including very large-scale computer simulations of the neuromorphic electronic systems, to inform the designers and validate hardware prior to fabrication.
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Based on current listing details, eligibility includes: DARPA funds high-risk, high-impact research through Broad Agency Announcements (BAAs), program solicitations, and special notices that invite proposals from universities, industry, and government laboratories. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Not specified Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
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Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
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