fundamental_research
Fundamental research View original picture , opens in new tab/window

Fundamental research

A major strength of the LTU AI IH is the solid basis of research on fundamental problems in AI oriented around the aforementioned applications. Our research in machine learning, deep learning, pattern recognition, signal processing, mathematical statistics, autonomous systems, unsupervised learning, neuromorphic computing, computer graphics, resource-efficient computing and business model innovation is published in top international AI journals and conferences. It paves the way to new innovations, new collaboration and business models, and the development of more human-like AI.

Novel architectures, algorithms and methods

Self-Organizing Map (SOM) algorithm 
Long short-term memory (LSTM) networks

Contacts

Fredrik Sandin

Fredrik Sandin, Associate Professor

Phone: +46 (0)920 493163
Organisation: Electronic systems, Embedded Internet Systems Lab, Department of Computer Science, Electrical and Space Engineering
Marcus Liwicki

Marcus Liwicki, Professor and Head of Subject, Chaired Professor

Phone: +46 (0)920 491006
Organisation: Machine Learning, Embedded Internet Systems Lab, Department of Computer Science, Electrical and Space Engineering

Faster and energy-efficient AI

Transformation of AI algorithms for faster and more energy-efficient execution 

Contacts

Evgeny Osipov

Evgeny Osipov, Professor

Phone: +46 (0)920 491578
Organisation: Dependable Communication and Computation Systems, Computer Science, Department of Computer Science, Electrical and Space Engineering