| Aspect | Details |
|---|---|
| Developer | Researchers at IIT Delhi |
| System Name | AILA (Artificially Intelligent Lab Assistant) |
| Purpose | Autonomous design, conduct, and analysis of laboratory experiments |
| Key Feature | Minimal human intervention; operates through a chat-based interface |
| Core Technology | Agentic AI Framework |
| AI Capabilities | Interprets goals, adapts to conditions, learns from outcomes |
| Demonstration | Integrated with an Atomic Force Microscope |
| Real-Time Control | Directly controls complex lab equipment; adjusts parameters dynamically |
| Efficiency Gains | Reduces experiment time from hours/days to minutes |
| Implications | Faster research cycles, improved equipment utilization, increased productivity |
| Key Takeaway | Places India at the forefront of agentic AI in experimental science |
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