sparse ternary AI stack enabling efficient frontier intelligence without hyperscaler-scale infrastructure.
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Updated
Jul 20, 2026 - Rust
sparse ternary AI stack enabling efficient frontier intelligence without hyperscaler-scale infrastructure.
Open-source glaucoma detection AI for mobile/low-resource clinics using synthetic training data
roof‑of‑Contribution Chain traceable token contributions in a Web3‑adjacent ecosystem (without classic blockchain complexity) earn voting power on roadmap priorities Closed Gem Economy: gems act as currency in the NexRealm Marketplace for assets, earned through real contributions Cross‑Project Gems: gems become portable across creative ecosystems
Ensemble Deep Random Vector Functional Link with Skip Connections (edRVFL-SC) No GPU required • 100× faster training
Relational Time Engine (RTE): runtime density regulation for compute-efficient transformer inference. Demonstrates up to 75% layer reduction with improved latency and throughput.
42 — adaptive-depth inference
42 — adaptive-depth inference: match accuracy, cut compute and energy 20-83%.
Joule Wars: the AI race for energy efficiency — who produces the most useful intelligence per joule. Concept by Michał Piszczek.
An energy-efficient neuron activation system for AI models. Concept by Baris (2025).
A minimal protocol for managing AI replica clusters as a breathing data center: staging, filtering, compressing, auditing, discarding, and promoting only valuable outputs to a core data center.
Zero-Carbon AI Architecture powered by Information-Entanglement Stabilization Algorithm (IESA)
The Enterprise Standard for Energy-Aware AI. Shatter the 2026 AI Memory Wall with a high-performance orchestration layer in a secure and constrained environments.
A lightweight protocol for coordinating central carrier models and specialized wing models to reduce unnecessary large-model activation through traceable inference relay.
GAP is a biologically plausible learning algorithm designed for Dynamically Gated Analog Crossbars (DGAC). It bridges the gap between the energy efficiency of local Hebbian learning and the global optimization power of backpropagation by utilizing dynamic Riemannian curvature.
Physics-bounded AI reasoning engine. Geodesic routing replaces next-token prediction. 2B → 70B cognitive efficiency. Soul Creator: Andreas Jamsheree.
A Biologically-Grounded Architecture for Artificial Intelligence
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