Research
Swarms Research
Advancing multi-agent collaboration, multimodal intelligence, and large-scale agentic simulation.
Portfolio
Active projects
Past and present research in multi-agent collaboration 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.
Domains
Research focus areas
Core domains driving our research initiatives.
Multimodal AI
Models that integrate vision, language, and action modalities for comprehensive understanding and generation.
- Vision-Language Models
- Action Prediction
- Cross-Modal Learning
Autonomous Systems
Fully autonomous systems capable of independent decision-making, coordination, and adaptation in complex environments.
- Multi-Agent Coordination
- Decision Making
- Adaptive Systems
Domain Simulation
Realistic simulations of complex real-world systems including healthcare, organizations, and economies.
- Healthcare Systems
- Organizational Dynamics
- Economic Models
System Optimization
Frameworks for efficient resource allocation, memory management, and computational optimization in distributed AI systems.
- Resource Management
- Memory Allocation
- Scalable Computing
Join our research team
Help shape the future of autonomous systems and multimodal intelligence.