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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.

Active

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.

VisionLanguageActionRobotics
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Active

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.

MemoryAllocationDeploymentOptimization
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Active

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.

HealthcareSimulationMulti-AgentOperations
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Active

DART

Diffusion-Autoregressive Recursive Transformer

Advanced transformer architecture combining diffusion models with autoregressive generation for enhanced sequence modeling and generation capabilities across multiple domains.

TransformersDiffusionGenerationSequence Modeling
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Active

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.

Spiking Neural NetworksMambaLanguage ModelingNeuromorphic Computing
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Active

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.

Multi-AgentSimulationPoliticsLegislative Process
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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.