Research & Education

Bringing students together through projects, guest lectures and industry collaboration.

Overview

Artificial intelligence is rapidly becoming a core part of modern society. What was once a niche research field now shapes how we communicate, work, create, and make decisions. From healthcare and finance to education and creative industries, AI is everywhere. Recent advances in machine learning and large-scale AI models have accelerated this shift, making AI tools widely accessible and highly influential. As AI becomes more deeply embedded in everyday life, the need for education and understanding is critical. Who's going to build the next generation of AI tools and applications? Who's going to be the next generation of AI researchers? Who's going to be the next generation of AI entrepreneurs? We believe the answer is you.

The best way to learn about AI is by building it. That's why if you are interested in AI, you should join us. We offer a variety of projects, guest lectures and industry collaboration opportunities.

Research and Education

A core part of Lund AI Society is our Research and Education branch. This is where members work on focused AI projects over several weeks, combining theory, practice and collaboration.

Projects are designed to go beyond surface-level usage of AI tools. Instead, the emphasis is on understanding what is actually happening under the hood — how models are trained, how they make decisions, and what trade-offs exist in real systems.

Alongside project work, members take part in lectures, workshops and guest lectures from researchers and industry professionals, providing both academic depth and real-world perspective.

What this includes

  • Multi-week, team-based AI projects
  • Hands-on experimentation and implementation
  • Lectures and workshops on core AI concepts
  • Guest lectures from researchers and industry experts

Learning AI in Depth

The goal is not just to use AI, but to truly understand it.

Machine Learning Foundations

Build a solid understanding of machine learning fundamentals, including model training, evaluation, optimization and data handling. Learn how classical and modern ML methods work in practice.

Deep Learning and LLMs

Explore neural networks, deep learning and large language models. Understand how architectures like transformers work, how models are trained at scale, and what limitations and risks exist.

Systems, Tools and Trade-offs

Learn about the practical side of AI systems: data pipelines, experimentation, evaluation, deployment and reproducibility. Understand the trade-offs involved in building real-world AI applications.

Industry Collaboration

Lund AI Society collaborates closely with industry partners to bridge the gap between academia and real-world AI applications.

Through project collaborations, guest lectures and sponsored challenges, members gain exposure to real problems faced by companies working with AI today. This includes problem scoping, working with imperfect data, and delivering practical solutions under real constraints.

These collaborations give members valuable insight into how AI is applied in industry, while helping partners explore new ideas and approaches together with motivated students.

What You Gain

By participating in Lund AI Society, members gain experience that complements university studies through hands-on work, collaboration and real responsibility.

The focus on understanding AI deeply prepares members for future work in research, engineering, startups and other AI-driven roles.

Outcomes for members

  • Deep understanding of modern AI systems
  • Practical experience beyond coursework
  • Hands-on projects to showcase in a portfolio
  • Connections to peers, researchers and industry
  • Skills directly relevant to internships, theses and research roles