Peer-Reviewed AI Research Papers

Advancing the frontiers of sparse weight neural attention, zero-knowledge tensor validation, and sub-millisecond multi-modal synthesis.

ARXIV:2026.04912 [CS.AI] • MARCH 2026

Self-Supervised Spatial Logic in Neural Vision Networks

Demonstrating 99.8% precision on 4K multi-modal frames with a 65% reduction in FLOP compute requirement using adaptive spatial attention masks.

Authors: Dr. Nova Neural, Marcus Chen DOWNLOAD PDF [4.2MB]
ARXIV:2026.01844 [CS.LG] • JANUARY 2026

Sparse Weight Allocation via Neural-Quantum Hybrid Nets

Unlocking 142 tokens/sec execution speed on 4-bit AWQ quantized 70B parameter models deployed across heterogeneous GPU edge nodes.

Authors: Elena Rostova, Dr. Nova Neural DOWNLOAD PDF [2.8MB]