Advanced Course in Artificial Intelligence Website

This prestigious Summer School will focus on methods and tools available for the development of Intelligent Decision Support Systems. These systems can take decisions by themselves or by interacting and cooperating with humans. They have a wide range of applications, for example: healthcare, finance and emergency response. The Summer School includes courses on preference modelling, argumentation, multiagent systems, uncertainty reasoning and various applications, delivered by distinguished academics and professionals with extensive experience in the development and application of such systems. The courses are designed to be interactive and will consist of a mixture of lectures and hands-on practice.

The Summer School targets an audience at the PhD level who are interested in this exciting area: current PhD students, advanced MSc students and other professionals with suitable technical backgrounds.

New Kind of Science Website

The NKS Summer School is a unique opportunity to get involved with original research at the frontiers of science. At each Summer School session, about 40 students from a diverse range of scientific backgrounds learn about NKS and how to apply it to their fields of interest.

The three-week-long program consists of lectures and individual research projects relating to core NKS issues. The NKS Summer School is primarily targeted at advanced undergraduates and early graduate students, although those in different circumstances are considered. We are looking for students who want to move their careers in the NKS direction.

All are expected to have read NKS in some level of detail. Additionally, because all projects will be done using Mathematica, learning its basics before the start of the program is highly recommended.

ICVSS Website

Computer vision researchers are increasingly using algorithms from machine learning to help build robust and reusable vision systems. Just as learning is an essential component of biological visual systems, artificial systems that learn and adapt represent an important challenge in modern computer vision research.

The third edition of the International Computer Vision Summer School aims to provide an objective, clear and in-depth summary of the state-of-the-art research in the area of Machine Learning for Computer Vision. The courses will be delivered by world renowned experts in the field, from both academia and industry, and will cover both theoretical and practical aspects in exploiting machine learning techniques for real computer vision application problems.

The School is especially aimed to provide a stimulating space for young researchers and Ph.D. students. The participants will benefit from direct interaction and discussions with world leaders in computer vision and machine learning. Participants will have also the possibility to present the results of their research on the topic of the school, and to interact with their scientific peers, in a friendly and constructive environment.

Services Computing Website

Services now account for more than half of the U.S. economy. Services Computing, as a new cross discipline, addresses how to enable IT technology to help people perform business services more efficiently and effectively. From a technology foundation perspective, Services Computing has become a foundational discipline in the modern services industry.

Participants of this Summer school will obtain a comprehensive understanding of the "Services Computing" curriculum initiative and of research advancement. Using the recommended text book "Services Computing" as the basic materials, this Summer school aims to help participating educators offer "Services Computing"related courses independently. Other teaching materials will be provided and studied as well, including lecture notes and slides associated with the book.