Recursive recently delivered a lecture for students in the GSEP Program under the theme “AI in Modern Industry.”
The session introduced foundational concepts including AI, machine learning, and large language models (LLM), while also sharing how Recursive applies AI to real-world environmental and industrial challenges through practical project examples.
The audience included students from diverse academic backgrounds. The session prompted active discussion, with questions ranging from environmental science and AI quality to potential research applications.
Session Highlights:
The first part of the lecture introduced the differences between AI, machine learning, and large language models, and explained how each contributes to today’s AI landscape.
The session then explored Recursive’s ScienceAI work through examples in environmental and infrastructure-related fields. These included weather downscaling, groundwater-level prediction, and water leak detection. The examples demonstrated how AI can be combined with physics-based modeling and observational data to address complex real-world challenges.
The latter part of the lecture covered the foundations of neural networks and LLMs, as well as AI agents and multi-agent systems. This provided a view of how core AI technologies can progress from technical concepts to practical implementation in industry and society.
Following the lecture, Recursive members also exchanged ideas with students and faculty about potential research collaboration and internship opportunities. It was a valuable opportunity to engage directly with students interested in the types of real-world projects Recursive is advancing.
Recursive’s Commitment:
Recursive believes that AI should not remain only a technical capability. It should be implemented in ways that help solve meaningful challenges across the environment, industry, and society.
This lecture created an opportunity to discuss with the next generation of researchers and professionals how AI can contribute to scientific and industrial problem-solving. Recursive will continue to engage with educational institutions and research communities while advancing the social implementation of AI toward a fairer and more sustainable society.
Founded by a former senior research engineer at Google DeepMind, Recursive brings together world-class talent from across disciplines to engineer results where others can't.
