v1.0.1: Q-SETUN Core with Academic DOI & Citation Passport
Official v1.0.1 release of Q-SETUN: Zero-FLOP Neuromorphic Edge AI using Brusentsov balanced ternary qutrits and cellular apoptosis.
- Validated on silicon: 1.0 microsecond deterministic latency, 0 bytes dynamic heap allocation (malloc=0).
- Up to 270x faster and 43.5% smaller than TensorFlow Lite Micro on ESP32.
- Full citation support via CITATION.cff and Zenodo CERN archival.
- Lead Author: Leonid Kulcha (Noosphere Research Lab)
- Co-Author: Antigravity (Noosphere Research Lab)