RIA’s AI in Research programme is for scholars, analysts and R&D teams: grounded literature assistants, review screening, experiment logs and drafting assist for methods and related work.
It does not replace a supervisor, thesis, or ethics board. Related: Data Science & AI, AI in Biomedical and AI in Pharma.
Domain literacy + applied AI labs + responsible review + capstone
We teach AI for the research workflow — literature review, evidence synthesis, experiment tracking, analysis copilots and reproducible reporting — so scholars and R&D teams accelerate method, not invent citations. This is not a substitute for a thesis or IRB/ethics board.
No. Assistants may draft and retrieve. You verify sources, methods and claims. Fabricated citations are treated as a failure mode to detect, not a feature.
No. The core is source-bound retrieval, screening workflows, reproducibility and disclosure — not generic chat.
Master’s/PhD candidates, industry R&D, policy/analyst teams, and faculty who want a responsible research-AI operating system.
Enquire with RIA for batch schedules, mentoring and project support at Purasawalkam or Saligramam, Chennai.