Implementation framework for real-time collaboration
Step-by-step realization of the program:
- Scene Adaptation::
- Deploy multiple pickups in conference rooms to ensure 360° coverage
- pass (a bill or inspection etc)
setTimeoutControl communication polling interval of 200ms - modifications
src/modules/scheduler.tsImplementing Priority Queues
- technology integration::
- Bridging existing collaboration systems via WebSocket
- utilization
DataChannelRealize dual-channel redundancy for sound + text - Deploying in Docker Containers Ensures Service Stability
- performance optimization::
- Compression of audio packets using EDGE algorithm
- configure
maxRetransmit: 3Balancing Latency and Reliability - utilization
performance.mark()Monitor end-to-end latency
Practical cases show that in telemedicine consultation scenarios, this solution can reduce the multi-AI collaborative decision-making time by 40%. suggested reference projectsexamples/telemedicineConfiguration templates in the directory require special attention to comply with data security specifications such as HIPAA.
This answer comes from the articlegibberlink: a demonstration project for efficient audio communication between two AI intelligencesThe
May not be reproduced without permission:AI productivity tools " How to apply gibberlink's audio communication technology in real-time collaboration scenarios?
