Winter School on Quantitative Systems Biology: Learning and Artificial Intelligence

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Collection Number14195
Collection TypeProgram
Source RepositoryICTS-TIFR

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 sensory input from the external world and to associate it with effective strategies to achieve a 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 languageReinforcement learning and decision makingSensorimotor learningThe ethics of artificial intelligence and its ...