AaltoAI

Our Mission

AaltoAI is a hub for technical, AI-curious students — the ones who want to learn AI, build with AI, and above all, build AI. We bring them together through hackathons, hands-on workshops and research, turning curiosity into real technical skill.

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Connecting Finland’s AI community across academia, industry, and beyond.

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Recent Events

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Hackathon
AI for Good Hackathon
What if AI didn’t just optimize clicks, but improved lives? Join us for a high-energy, purpose-driven hackathon where builders, designers, and thinkers come together to create agentic AI solutions with measurable social impact. This is your chance to go beyond theory and prototype systems that actually move the needle, while competing for the €5,000 prize pool. Who should join? Builders, students, founders, designers, and anyone excited about using AI to solve meaningful problems. Teams of up to 5 people, come with a team or form one on-site. Let’s build AI that actually matters. May 22–24 📍 Hive Helsinki With: Hive Helsinki, Microsoft, Norrin, Aalto Founders School and Verda Join AaltoAI telegram: https://t.me/aaltoai
When:
22 May 2026, 00:00
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AI and Concentration of Power
Onni Aarne will talk about how advanced AI could lead to a significant concentration of power. The talk examines the dynamics that might drive such concentration, explores in what ways it could become a problem, and considers what it means for the future of society. Onni works on Compute Policy as a Research Lead & Consultant at the Institute for AI Policy and Strategy; he'll be speaking in a personal capacity. Full series info: acceleratingblind.fi
When:
20 May 2026, 00:00
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past
LLMs and Alignment. Research Talks: Dr. Shantipriya Parida
The Research Talks by LLMs and Alignment continue. At our third event, Dr. Shantipriya Parida will present his research: LLMs for All: Building Inclusive Models for Low-Resource Languages In a world of approximately 7,000 languages, the benefits of Large Language Models (LLMs) remain concentrated on a small subset, leaving most low- and ultra-low-resource languages underserved. Even for many of these languages, LLM performance is constrained by data scarcity, limited tooling, and insufficient technological support. This talk addresses a central question: how can we design AI systems that truly serve all languages? The talk addresses the challenges and end-to-end process of building Large Language Models (LLMs) for low- and ultra-low-resource languages. We explore this problem through two representative case studies: Odia (an Indic language) as a low-resource language and Sámi (an Uralic language) as an ultra-low-resource language. Drawing from these examples, we discuss practical approaches such as multilingual pretraining, transfer learning, tokenization strategies, and community-driven data development. The talk highlights key technical and practical challenges, design decisions, and lessons learned in building inclusive language technologies. We conclude with a vision for scalable and equitable AI that extends the benefits of LLMs to all language communities.
When:
14 May 2026, 00:00
Learn More about LLMs and Alignment. Research Talks: Dr. Shantipriya Parida (opens in a new tab)

AaltoAI

Our Mission

Find your peopleat AaltoAI

AaltoAI

Our Mission

Find your peopleat AaltoAI

Recent Events

AI for Good Hackathon

AI and Concentration of Power

LLMs and Alignment. Research Talks: Dr. Shantipriya Parida

Find your people
at AaltoAI

Find your people
at AaltoAI