SwarmsResearchDepartment
Advancing multi-agent research, multi-modal research, and large-scale agentic simulations
Active Research
Projects
Learn more about our past and present research projects in multi-agent collaboration and and multimodal intelligence.
VLAM
Vision-Language-Action Model
A novel multimodal architecture combining vision perception, natural language understanding, and robotic action prediction in a unified framework. Built upon Mamba SSM for efficient processing of long visual sequences.
ModelGrid
Dynamic Memory Allocation Framework
A quantitative framework for dynamic memory allocation in multi-model deployment. Enables efficient resource management and optimization across complex AI systems and distributed computing environments.
HospitalSim
Multi-Agent Hospital Simulation
Comprehensive simulation of real-world hospital operations using coordinated agent systems. Models patient care protocols, medical staff coordination, resource management, and emergency response systems.
DART
Diffusion-Autoregressive Recursive Transformer
Advanced transformer architecture combining diffusion models with autoregressive generation for enhanced sequence modeling and generation capabilities across multiple domains.
SpikeMamba
Joint Spiking Neural Network and State Space Model Architecture
A novel integration of spiking neural networks (SNNs) with the Mamba state space model architecture, investigating the potential for biologically-inspired temporal dynamics in language modeling.
Senator Assembly
A Large-Scale Multi-Agent Simulation of the US Senate
Comprehensive simulation of US Senate operations using coordinated agent systems. Models legislative processes, voting patterns, committee dynamics, and political decision-making in a realistic multi-agent environment.
Research Focus
Areas
Core domains driving our research initiatives and technological innovations
MULTIMODAL AI
Advanced models that seamlessly integrate vision, language, and action modalities for comprehensive AI understanding and generation
AUTONOMOUS SYSTEMS
Research into fully autonomous systems capable of independent decision-making, coordination, and adaptation in complex environments
DOMAIN SIMULATION
Creating realistic simulations of complex real-world systems including healthcare, organizations, and economic systems
SYSTEM OPTIMIZATION
Developing frameworks for efficient resource allocation, memory management, and computational optimization in distributed AI systems
JOIN OUR RESEARCH
TEAM
Join our research team and help shape the future of autonomous systems and multimodal intelligence