Research
Experimental Search Systems
Research into hybrid information retrieval combining lexical, semantic, graph, and contextual ranking methods.
Independent Computational Research Lab
Exploring the algorithms behind intelligent systems.
Mathnetica is an independent computational research lab exploring algorithms, artificial intelligence, data systems, computational architectures, and emerging models of computation.
Research
Fields at the edge of mathematics and computation.
- 01
Algorithms & Complexity
Design and analysis of algorithms, computational complexity, optimization, approximation algorithms, and novel computational methods.
- 02
Artificial Intelligence
Machine learning, neural networks, reasoning systems, foundation models, intelligent agents, and new AI architectures.
- 03
Data & Knowledge Systems
Data architectures, information retrieval, search systems, semantic search, vector databases, knowledge graphs, semantic technologies, data engineering, and large-scale data processing.
- 04
Computational Architecture
Architecture of intelligent and computational systems, distributed systems, cloud-native computing, high-performance architectures, AI infrastructure, and scalable system design.
Research Philosophy
Research at the intersection of mathematics and computation.
Mathnetica explores problems where mathematics, computer science, and intelligent systems intersect.
Our work focuses on understanding computational structures, designing better algorithms, and experimenting with new approaches to machine intelligence and large-scale computational systems.
Research may result in open-source software, experimental systems, technical publications, prototypes, or commercial products.
The goal is not simply to apply existing technology, but to investigate the ideas and algorithms from which future systems can emerge.
Projects
Selected experimental work.
Experimental
Algorithmic Intelligence
Experiments in reasoning, optimization, search, and computational decision systems.
Collaborate
Open to serious collaboration
Mathnetica is interested in collaboration with researchers, engineers, universities, independent scientists, and organizations working on challenging computational problems.
Areas of collaboration may include research experiments, open-source projects, technical publications, datasets, benchmarks, and exploratory prototypes.