+212 664 859 860

93 rue des consuls - Rabat, MOROCCO - 10000

lab@batencore.com

BATENCORE

BATENCORE is a research laboratory established in 2023 and funded by private funds, serving as the primary support for my research work. The lab is dedicated to exploring contextual intelligence, complex systems, and abstraction. Thanks to its private funding, BATENCORE has the necessary resources to conduct cutting-edge research across interdisciplinary fields—ranging from quantum computing and cryptography to systems theory and mathematical games.

The laboratory focuses on creating universal tools and developing innovative methods that bridge theory and practice. By leveraging supra-abstract approaches, BATENCORE aims to redefine system modeling and open up new perspectives for addressing major unresolved problems in mathematics and technology.

Our main projects...

Baten Screen

This revolutionary project transforms a display into a decentralized computing system, where each pixel acts as an autonomous processing unit capable of calculating, storing, and displaying data in real time. Leveraging a modular architecture and a dynamic self-adaptation mechanism, it enables massive parallel processing and exceptional scalability. The implications extend to augmented reality, smart interfaces, and next-generation data centers, pushing the boundaries of the post-Moore era.

Baten OS

Baten OS is a revolutionary, universal operating system built on a novel abstraction theory—TGER—that models every system component as an entity with unified states and relationships. The architecture integrates a modular Kernel, a dynamic File System, a Hardware Abstraction Layer with drivers, and robust Security and Configuration modules. Designed to adapt to a wide range of hardware—from PCs and mobiles to IoT devices and complex networks—Baten OS ensures traceability and consistency of state transitions, offering a scalable and secure solution for modern computing challenges.

Baten Semantic Engine

Baten Semantic Engine is a modular, locally deployable language engine designed to analyze, understand, and generate human-like text with intelligence and purpose. It combines: Contextual Intelligence (CIP): Scores and prioritizes elements in a text based on their contextual importance. Semantic Enrichment: Leverages WordNet and ConceptNet to associate each element with synonyms, hypernyms, and conceptual relations. Phonetic Profiling: Captures the musicality and vowel-based rhythm of a text for more natural generation. Reflexive Generator: A powerful generator that uses patterns, semantic memory, and linguistic dynamics to create expressive and structured output. Goal: To give users complete control over an intelligent and creative text system — running directly on their machines, with no need for external APIs.