IIT Delhi Develops AI Agent for Scientific Experiments
On December 23, 2025, the Indian Institute of Technology (IIT) Delhi announced a groundbreaking development in the field of artificial intelligence (AI). The institute has created an AI agent capable of conducting scientific experiments independently and analyzing results, similar to human scientists. This innovative AI, named AILA (Artificially Intelligent Laboratory Agent), can control complex laboratory devices and make real-time decisions during experiments.
Collaboration and Development
The development of AILA was made possible through a collaborative effort among researchers from IIT Delhi and international partners from Germany and Denmark. This collaboration highlights the global interest in advancing AI technology for scientific research.
Efficiency in Research
Indrajeet Mandal, a PhD scholar at the School of Interdisciplinary Research at IIT Delhi and the first author of the research, shared his experience with AILA. He stated, “AILA helps me with my daily experimental tasks and speeds up my research progress significantly.” Previously, optimizing microscope parameters for high-resolution, noise-free images would take an entire day. With AILA, this task is completed in just 7-10 minutes.
Published Research
The research detailing AILA’s capabilities has been published in the journal Nature Communications under the title “Evaluating large language model agents for automation of atomic force microscopy.” This publication marks a significant step in the integration of AI into experimental science.
Understanding the Technology
Professor Nitya Nand Gosvami, a key contributor to the research, emphasized the complexity of the Atomic Force Microscope (AFM), which AILA utilizes. The AFM is a sophisticated instrument that examines materials at incredibly tiny scales, requiring a deep understanding of nanoscale physics, surface interactions, and real-time feedback control. Professor Gosvami noted, “The fact that AILA can autonomously perform these tasks represents a paradigm shift in experimental science.”
Transformative Potential
Professor Anoop Krishnan, another researcher involved in the project, explained the transformative potential of AI technologies like AILA. He stated, “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.”
Impact on India’s Scientific Ecosystem
The introduction of autonomous lab assistants like AILA could significantly impact India’s scientific ecosystem. Professor Krishnan highlighted that such technologies could democratize access to advanced experimental capabilities. He mentioned, “Universities and research institutions across India, even those without extensive infrastructure or specialized personnel, could conduct cutting-edge materials research.”
Government Support
The Indian government has recognized the potential of AI in research and recently announced major funding through the Anusandhan National Research Foundation (ANRF) to accelerate AI-driven research across the country. This funding is expected to further enhance the capabilities of institutions like IIT Delhi in developing innovative technologies.
Challenges Ahead
Despite the promising advancements, the researchers acknowledged several challenges. While AI can excel at answering questions, it does not automatically translate to proficiency in scientific practice. Mandal analogized this by stating, “It’s like the difference between knowing driving rules from a textbook versus navigating busy city traffic.” This highlights the need for continued research and development to ensure AI can effectively contribute to scientific experimentation.
Conclusion
The development of AILA at IIT Delhi represents a significant milestone in the integration of AI into scientific research. As the capabilities of AI continue to expand, the potential for transforming the landscape of experimental science grows. AILA not only enhances efficiency in research but also opens doors for institutions across India to engage in advanced scientific inquiry.
Note: The advancements in AI technology, such as AILA, signify a shift towards more autonomous scientific research, which could lead to significant breakthroughs in various fields of study.
