Artificial Intelligence

At CWI, AI research is firmly embedded, as the institute has been involved in AI research from the early beginnings. A number of research groups are advancing AI and its applications, working both from a computer science and a mathematical perspective.

 

 

 

 

 

With advances in algorithms and compute power, the importance of Artificial Intelligence as a research topic has grown immensely. AI enables computers to perform tasks at a level that matches or even exceeds human capabilities. AI techniques have also become a computer science tool and helps solve many challenging problems. Intelligent computers are of great value to society as they can be omnipresent and help save us time and effort. Think, for instance, of virtual assistants, image- and speech recognition, and self-driving cars. AI holds great promise for industry areas such as technology, finance, manufacturing, energy, gaming and health.

At CWI, AI research is firmly embedded, as the institute has been involved in AI research from the early beginnings. It is characterized by the combination of computer science and mathematics for CWI’s AI areas and by demand-inspired fundamental research. A further distinction is that AI-research is often performed in combination with other techniques in computer science and mathematics as well: the latter are used in AI research or, on the contrary, AI is part of a larger whole together with also other mathematics and computer science methods. Such combinations are distinctive to CWI research.

A number of research groups are advancing fundamental AI knowledge and its applications. Groups notably involved in top-level fundamental AI research are: Machine Learning, Intelligent and Autonomous Systems, Information Access and Life Sciences and Health. Other groups that are also involved in applied AI research are Multiscale Dynamics, Networks & Optimization and Scientific Computing. CWI’s AI research is applied in domains like sequential prediction, smart energy systems, data integration and information, financial risk assessment, health care, and resilient networks.