Artificial intelligence (AI) is undergoing an explosive phase — machines can now accomplish complex specific tasks at a level that exceeds human skills. At the basis of this performance is the ability to understand the sensory input from the external world and to associate it with effective strategies to achieve the desired goal.
 
This advanced school aims to combine different yet strongly coupled perspectives: first, theoretical approaches, which focus on principles, algorithms, and their applications to computer science; second, the relationship with experimental neuroscience, which has inspired the latest generation developments in AI and has, in turn, benefited from the ability of AI to investigate the computations underlying complex cognitive processes; third, applications such as robotics, gaming, etc.
 
The topics covered include:
 
•    deep learning and its relation to vision and language
•    reinforcement learning and decision making
•    sensorimotor learning
•    the ethics of artificial intelligence and its impact on society


Invited lecturers:
B. Biggio (Cagliari U.)
D. Braun (Ulm U.)
P. Dayan (Max Planck Institute for Biological Cybernetics)
J. Di Carlo (MIT)
B. Kappen (Radboud U., Nijmegen)
T. Lattimore (DeepMind, London)
M. Pelillo (Ca' Foscari U.)
J. Peters (Technische Universitaet Darmstadt)
L. Rosasco (U. Genova, MIT & IIT)
N. Tishby (The Hebrew University of Jerusalem)
R. Zecchina (U. Bocconi )


 
Financial support for students from India is available under the Pratiksha Trust Scholarships, ICTS Bangalore