Overview - IDSIA NEW
The Institute is organized into six main research areas, although lots of other collaborations happens across these areas.
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Autonomous Robotics
Studies human-robot interaction and the control of robot swarms (including drones) through insect-inspired architectures and control techniques based on machine learning and evolutionary robotics.
Intelligent control for networked systems
The effective resolution of planning, management, and control problems requires advanced optimization algorithms. Through realistic models and simulations, these algorithms generate and evaluate alternative solutions, organizing their exploration with diverse approaches.
Geometric and Visual Computing
Deals with the processing and analysis of visual and geometric information through the combination of computer science and mathematical modelling.
Machine Learning and Artificial Neural Networks
Covers recurrent neural networks, biological signal analysis systems, machine learning algorithms for time series data, causal analysis and knowledge engineering.
Natural language processing and information retrieval
Focuses on advanced information retrieval techniques, natural language processing (NLP) and the application of NLP techniques to practical problems.
Theory and Algorithms
Studies problems at the heart of computer science with a rigorous, mathematically-based theoretical approach to investigate theoretical knowledge of computation.
IDSIA has achieved notable success in applying Ant Colony Optimization to Combinatorial Optimization problems. The 1997 paper Ant colony system: a cooperative learning approach to the traveling salesman problem by Dorigo and Gambardella has garnered over 6,000 citations to date.
Currently, IDSIA is at the forefront of Deep Learning research. Our neural networks team has triumphed in nine international competitions in machine learning and pattern recognition.
IDSIA is also a premier institute for research on imprecise probability. Its imprecise probability group is among the largest and most influential globally, contributing significantly to the theoretical foundations of probability and statistics while maintaining a strong track record in data mining projects with industrial partners.
Our research frequently receives attention in both national and international news outlets.
Currently, IDSIA is at the forefront of Deep Learning research. Our neural networks team has triumphed in nine international competitions in machine learning and pattern recognition.
IDSIA is also a premier institute for research on imprecise probability. Its imprecise probability group is among the largest and most influential globally, contributing significantly to the theoretical foundations of probability and statistics while maintaining a strong track record in data mining projects with industrial partners.
Our research frequently receives attention in both national and international news outlets.