AI in Finance

Welcome to IDSIA's gateway for exploring our research in Artificial Intelligence in Finance and our strategic collaboration with UBS.

Committed to advancing AI in Finance, we combine academic rigor with years of industry experience to drive innovation in Ticino.

Together, we are shaping the future at the intersection of finance and AI.

At a glance. Our group in brief

Industry-Aligned AI Innovation

We develop cutting-edge AI solutions in collaboration with partners from the financial industry, bridging research and practice. Our work is driven by real-world challenges faced by the industry, with an emphasis on impact, scalability and long-term strategic value.

Research in Machine Learning for Finance

Our group focuses on leveraging Markov Decision Processes, Markov Games, and Deep Reinforcement Learning to solve complex financial planning problems. A recurrent theme is to approach finance as a strategic "game with the world," applying modern game-playing systems to interpret and optimize financial decision-making. Our work spans both foundational research and practical applications, driving innovation in the way financial strategies are developed and executed in high-stakes environments.

Generative AI in Finance

Our research group closely follows the integration of Generative AI and large language models in the financial industry. We track the adoption of these technologies, ensuring explainability and regulatory alignment. Our work drives the responsible and transparent deployment of AI in finance, fostering innovation and upholding industry standards.

Foundational research

Beyond industry collaboration, our group is active in basic research. Our interest lies in:

  • Learning theory, particularly the theory of (deep) reinforcement learning
  • Markov decision processes and Markov games
  • Theory of reproducing kernels and kernel-based learning machines
  • Theory of signals and communication

Project partners