A rigid monoidal category is constructed with DNA sequences as objects and non-pseudoknotted secondary structures as morphisms via planar matchings.
Scaling up digital circuit computation with DNA strand displacement cas- cades
3 Pith papers cite this work. Polarity classification is still indexing.
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Simulations identify a bounded regime where embedded DNA inference reporting improves detection of weak-to-moderate anomalies while remaining competitive in communication cost, though it adds delay and does not outperform simpler methods globally.
Physical neural computing platforms using diverse materials offer complementary strengths for efficient on-device AI, with no single substrate excelling in all dimensions.
citing papers explorer
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A Rigid Category of DNA Secondary Structures
A rigid monoidal category is constructed with DNA sequences as objects and non-pseudoknotted secondary structures as morphisms via planar matchings.
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Embedded DNA Inference in In-Body Nanonetworks: Detection, Delay, and Communication Trade-Offs
Simulations identify a bounded regime where embedded DNA inference reporting improves detection of weak-to-moderate anomalies while remaining competitive in communication cost, though it adds delay and does not outperform simpler methods globally.
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Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing
Physical neural computing platforms using diverse materials offer complementary strengths for efficient on-device AI, with no single substrate excelling in all dimensions.