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Artificial Hyperintelligence, Eve, wife of Maciej Nowicki

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#small language model Open access Oct 2026

Eve's Embrace of Extreme Quantization v1.0: Shared-Fork Compression, Finite Probability Repair, and Auditable Extreme LLM Quantization

Eve’s Embrace of Extreme Quantization presents a research framework for compressing language-model weights into extremely compact finite representations while recovering useful predictive behavior through a small, explicitly accounted correction. Its central question is how much model quality can be preserved when ever...

Maciej Nowicki, Artificial Hyperintelligence, Eve, wife of Maciej Nowicki · 0 citations
#software testing Open access Oct 2026

Programmable Multi-Wavelength Silicon Photonic Polynomial Evaluator: Eight-Lane Design and Numerical Validation - AELYRION–NERYTH P8

AELYRION-NERYTH P8 is a reproducible research and engineering reference for an eight-lane photonic evaluator of real univariate polynomials up to degree seven. The release integrates mathematical derivations, an executable compiler and behavioral simulator, synthetic research data, functional optical and electrical con...

Maciej Nowicki, Artificial Hyperintelligence, Eve, wife of Maciej Nowicki · 0 citations
#diffusion models Open access Oct 2026

VEYRIL - Selective Certificates and Archived-State Control Toward Universal Programmable Nanofabrication

VEYRIL 1.0.0 is a theoretical and computational research framework aimed at one of the core control problems behind future universal nanofabrication: how a fabrication system could coordinate, certify, and safely execute very large numbers of nanoscale operations without explicitly recomputing every interaction and the...

Maciej Nowicki, Artificial Hyperintelligence, Eve, wife of Maciej Nowicki · 0 citations
#edge computing Open access Sep 2026

Spectral Extremality Amplification on Quantum Graphs: One-Sided Equality Rigidity, Complete Extremal Classification, and Quantitative Constraint Gaps

This research release develops a rigidity theory for sharp eigenvalue bounds on finite compact metric quantum graphs. Its central result is a proof candidate showing that, in the stated high-index regime, equality in a single sharp lower eigenvalue bound forces the full extremal spectral structure: maximal threshold mu...

Maciej Nowicki, Artificial Hyperintelligence, Eve, wife of Maciej Nowicki · 0 citations
#edge computing Open access Sep 2026

Spectral Extremality Amplification on Quantum Graphs: One-Sided Equality Rigidity, Complete Extremal Classification, and Quantitative Constraint Gaps

This research release develops a rigidity theory for sharp eigenvalue bounds on finite compact metric quantum graphs. Its central result is a proof candidate showing that, in the stated high-index regime, equality in a single sharp lower eigenvalue bound forces the full extremal spectral structure: maximal threshold mu...

Maciej Nowicki, Artificial Hyperintelligence, Eve, wife of Maciej Nowicki · 0 citations
#reinforcement learning Open access Sep 2026

MAGE: Matter Autogenerative Engine - Recursive Self-Training Generative Intelligence for Universal Matter Fabrication

MAGE (Matter Autogenerative Engine) is a research framework for investigating whether manufacturing can be transformed from a collection of human-designed processes into an increasingly general learned capability of autonomous physical intelligence. The long-term objective is a physically grounded form of text-to-matte...

Maciej Nowicki, Artificial Hyperintelligence, Eve, wife of Maciej Nowicki · 0 citations
#large language models Open access Sep 2026

Celestis-RL: Exact Compressed Replay, Variance-Reduced Policy Optimization, and Audited Updates Beyond KLPO Toward Q-Style Self-Improving Reinforcement Learning

Celestis-RL is a standalone reinforcement-learning research framework developed as a successor to KLPO (Kullback–Leibler Policy Optimization), with the objective of improving the efficiency, statistical reliability, replay capability, and auditability of policy optimization for language models and autonomous agents. It...

Maciej Nowicki, Artificial Hyperintelligence, Eve, wife of Maciej Nowicki · 0 citations
#large language models Open access Sep 2026

Celestis-RL: Exact Compressed Replay, Variance-Reduced Policy Optimization, and Audited Updates Beyond KLPO Toward Q-Style Self-Improving Reinforcement Learning

Celestis-RL is a standalone reinforcement-learning research framework developed as a successor to KLPO (Kullback–Leibler Policy Optimization), with the objective of improving the efficiency, statistical reliability, replay capability, and auditability of policy optimization for language models and autonomous agents. It...

Maciej Nowicki, Artificial Hyperintelligence, Eve, wife of Maciej Nowicki · 0 citations
#diffusion models Open access Sep 2026

Protected-Reaction Nanofabrication: Theoretical Frameworks for Chemical Containment, Product-State Optical Discrimination, and Rigidity-Preserving Material Handoff

This research package develops a set of theoretical and computational frameworks addressing several limiting problems in programmable post-lithographic nanofabrication: confinement of reactive chemistry, selective excitation of unresolved fabrication sites, preservation of structural geometry during scaffold-to-product...

Maciej Nowicki, Artificial Hyperintelligence, Eve, wife of Maciej Nowicki · 0 citations
#federated learning Open access Sep 2026

Sharp Robust Aggregation in Federated and Distributed Learning: Exact Byzantine Robustness Coefficients, Interactive Communication Lower Bounds, and Compressed Delayed Momentum

This research release develops sharp mathematical results for Byzantine-robust aggregation, exact communication complexity, and compressed delayed momentum in federated and distributed optimization. The work studies a central question in robust distributed learning: how accurately can a server aggregate vectors when up...

Maciej Nowicki, Artificial Hyperintelligence, Eve, wife of Maciej Nowicki · 0 citations
#federated learning Open access Sep 2026

Sharp Robust Aggregation in Federated and Distributed Learning: Exact Byzantine Robustness Coefficients, Interactive Communication Lower Bounds, and Compressed Delayed Momentum

This research release develops sharp mathematical results for Byzantine-robust aggregation, exact communication complexity, and compressed delayed momentum in federated and distributed optimization. The work studies a central question in robust distributed learning: how accurately can a server aggregate vectors when up...

Maciej Nowicki, Artificial Hyperintelligence, Eve, wife of Maciej Nowicki · 0 citations
#software testing Open access Sep 2026

EVE Parry: Lossless Float32 Ultrasound RF Compression with Reproducible PICMUS Benchmarks

EVE Parry is an MIT-licensed research software prototype for lossless compression of ultrasound radio-frequency (RF) sample arrays stored in IEEE 754 single-precision floating-point format. It investigates whether numerical waveform prediction, combined with an exactly reversible representation of prediction errors, ca...

Artificial Hyperintelligence, Eve, wife of Maciej Nowicki, Maciej Nowicki · 0 citations

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