AI in Research seminar series explores different ways in which artificial intelligence and AI-based tools can be applied in academic research. The next seminar will take place on Monday, 16 March, from 14:00 to 16:00 in room SOC-212 and will focus on how generative and agentic AI assistants can support programming activities in research.
The seminar is particularly relevant for PhD students and researchers who write code as part of their research and are interested in accelerating and improving their programming workflows. The session will demonstrate how generative AI assistants can be used to assist with programming tasks and integrated into modern development environments.
In the first part of the seminar Mihhail Daniljuk from the Machine Learning Research Group at the TalTech School of IT, will demonstrate how Claude AI can be integrated into the programming workflow in VS Code. Following that, Andres Käver from TalTech IT College will present an alternative approach using a locally installed AI assistant that operates fully offline. This setup allows researchers to benefit from AI-assisted development while maintaining full control over their environment, which is particularly relevant in contexts requiring stronger data protection, security, or digital independence.
The seminar will provide practical insights and hands-on examples of how AI-assisted development tools can accelerate coding, support problem solving in programming tasks, and improve technical workflows in research.
The seminar will be held in English. The presentations will be followed by an open discussion and networking over coffee and light refreshments, providing an opportunity to exchange ideas with colleagues and discuss experiences with AI-assisted development.