AI & ML interests

Physical AI, Agentic AI, on-device and edge intelligence, multimodal perception, context and state modeling, tool use and capability routing, small language models, VLM/VLA, agent-device interaction, and efficient inference for intelligent devices.

Recent Activity

Andy-YangYNBY  published a model 4 days ago
Instaon/needle2-chinese-finetuning
hotmob  updated a Space 23 days ago
Instaon/README
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引态科技


Identity · Capability · Proximity · Coordination · Memory · Evolution



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INT AIOS

Infrastructure for the Physical Agent Era.

INT AIOS is building an AI-native runtime and infrastructure layer for agents, devices, and physical spaces.

We believe the next generation of AI will move beyond chat interfaces and become part of the physical world — continuously perceiving context, understanding state, discovering capabilities, and acting across devices.

Our work focuses on:

  • Agent Runtime — execution and coordination infrastructure for persistent agents.
  • Device Agents — turning physical devices into discoverable and callable agent capabilities.
  • Context & State — building persistent, structured representations of people, devices, and spaces.
  • Capability Protocols — standardized schemas for discovering, describing, invoking, and composing capabilities.
  • Edge & On-device AI — efficient models for perception, intent understanding, capability routing, and local execution.
  • Agent Internet — infrastructure for trusted interaction between agents, devices, services, and physical environments.

Our long-term goal is to build the runtime layer connecting:

Perception → Context → Reasoning → Capability → Action

We are exploring and open-sourcing models, datasets, protocols, runtimes, and tools for the emerging Physical Agent ecosystem.

Device is Agent. Context is Product. Capability is the Interface.

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