The definitive Ternary Programming Language and Industrial Stack for post-binary AI. Optimized for Ternary Coding, 1-bit LLMs (BitNet), and 60% power reduction. Featuring the BET VM, Native Sparsity, and triadic security. Developed by RFI-IRFOS.

Ensemble Deep Random Vector Functional Link with Skip Connections (edRVFL-SC) No GPU required • 100× faster training

Open-source glaucoma detection AI for mobile/low-resource clinics using synthetic training data

Relational Time Engine (RTE): runtime density regulation for compute-efficient transformer inference. Demonstrates up to 75% layer reduction with improved latency and throughput.

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

Neuro-symbolic AI harness with dynamic meta-cognition. A problem solver, not a solution extractor.

COIA-Ω v4.0 — Production-Grade Photonic Compute Platform. 12W monolithic photonic IC targeting >10× energy efficiency of modern GPUs.

An energy-efficient neuron activation system for AI models. Concept by Baris (2025).

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.