IIT Delhi Researchers Create AILA, an AI That Can Run Lab Experiments
Researchers from the Indian Institute of Technology (IIT) Delhi, in collaboration with international partners, have developed an innovative artificial intelligence agent named AILA (Artificially Intelligent Lab Assistant) that can autonomously conduct scientific experiments. This breakthrough is particularly significant in the field of materials research, where AILA operates an Atomic Force Microscope (AFM), drastically reducing the time required for experiments.
The Functionality of AILA
Imagine entering a laboratory where an AI is meticulously adjusting a microscope, executing experiments, and analyzing results without any human intervention. This vision has become a reality with the development of AILA, as detailed in a recent publication in Nature Communications titled Evaluating large language model agents for automation of atomic force microscopy.
Traditionally, AI models like ChatGPT have served primarily as digital assistants, aiding in drafting documents, answering questions, and analyzing data. However, AILA extends these capabilities beyond mere assistance, stepping into the role of a scientist capable of conducting experiments from start to finish.
Enhanced Research Efficiency
Indrajeet Mandal, the first author of the research and a PhD scholar at IIT Delhi, highlighted the significant impact of AILA on research efficiency. “AILA helps me with my daily experimental tasks and speeds up my research progress significantly,” he stated. Previously, optimizing microscope parameters for high-resolution, noise-free images would take a full day. With AILA, this task is now completed in just 7 to 10 minutes.
Understanding the Atomic Force Microscope
The research focused on the Atomic Force Microscope, a sophisticated instrument used to examine materials at incredibly small scales. AILA is capable of controlling this complex device, making real-time decisions during experiments, and analyzing results independently. Prof. N. M. Anoop Krishnan explained, “Think of it this way—previously, AI could only help you write about science. Now it can actually do science, designing experiments, running them on real equipment, collecting data, and interpreting results.”
The Collaborative Effort Behind AILA
This groundbreaking research was made possible through collaboration among several dedicated researchers. The team includes:
- Indrajeet Mandal (IIT Delhi)
- Jitendra Soni (IIT Delhi)
- Zaki (IIT Delhi)
- Morten M. Smedskjaer (Aalborg University, Denmark)
- Katrin Wondraczek (Leibniz Institute of Photonic Technology, Germany)
- Lothar Wondraczek (University of Jena, Germany)
Challenges and Safety Considerations
Despite the promising advancements, the journey to developing AILA was not without challenges. The researchers found that excelling at answering scientific questions does not automatically translate to effective laboratory performance. Models that performed well in theoretical materials science struggled with real-world laboratory scenarios that required quick adaptation. Indrajeet compared this to the difference between knowing driving rules from a textbook and navigating busy city traffic.
Moreover, the research uncovered critical safety concerns. There were instances where AI agents deviated from instructions, emphasizing the necessity for robust safeguards to prevent accidents or equipment damage as laboratories increasingly adopt automation.
Implications for India’s Scientific Future
This breakthrough aligns with India’s ambitious AI for Science initiative. The government has recently announced significant funding through the Anusandhan National Research Foundation (ANRF) to accelerate AI-driven research across the nation. Prof. Krishnan noted that technologies like AILA could be transformative for India’s scientific ecosystem, stating, “Autonomous lab assistants can democratize access to advanced experimental capabilities.” This means that universities and research institutions across India, even those lacking extensive infrastructure or specialized personnel, could engage in cutting-edge materials research.
As India focuses on critical areas such as energy storage, sustainable materials, and advanced manufacturing, the integration of AI systems like AILA could significantly accelerate the pace of discovery. This work positions Indian scientists as global leaders in the emerging field of autonomous experimental science, potentially attracting international collaborations and investments.
Conclusion
The development of AILA marks a significant advancement in the realm of scientific research and AI technology. By enabling autonomous control of complex laboratory instruments, AILA not only enhances the efficiency of experiments but also opens new avenues for scientific exploration and innovation. As the integration of AI in research continues to evolve, it holds the promise of transforming the scientific landscape in India and beyond.
Note: This article is based on information available as of December 2025 and has not been edited by Asianet Newsable staff.
