If you are more interested in the engineering of tomorrow -- and the science of today -- rather than in today's engineering practices....come to us!
The Center for Brains, Minds and Machines (CBMM) will be coordinating one of the three symposia at the 29th Annual Conference on Neural Information Processing Systems (NIPS) 2015
The symposium for Brains, Minds and Machines is concerned with the integration of two central topics: the scientific understanding of intelligence and the ability to replicate intelligence in engineered systems. Understanding intelligence and the brain requires theories at different levels, ranging from the biophysics of single neurons to algorithms, computations, and a theory of learning. In this symposium, we aim to bring together researchers from machine learning and artificial intelligence, from neuroscience, and from cognitive science to present and discuss state-of-the art research that is focused on understanding intelligence on these different levels. Central questions of the symposium include how intelligence is grounded in computation, how these computations are implemented in neural systems, how intelligence can be described via unifying mathematical theories, and how we can build intelligent machines based on these principles. A particular focus of the symposium lies on how both models and algorithms can be guided by scientific concerns, incorporating constraints and findings from cognitive neuroscience, systems neuroscience, and cognitive development. We believe that these topics, spanning the fields of artificial intelligence, neuroscience and cognitive science, lie at the core of the Conference on Neural Information Processing Systems and are of great interest to its general audience. Moreover, the accumulated knowledge and technology that is now in place has set the stage for rapid advances in these areas and in the creation of intelligent machines. We believe that this makes it an ideal time to hold this symposium at NIPS. The symposium is targeted at researchers at the interface of computer science, artificial intelligence, cognitive science, computational neuroscience, and robotics.
For more details visit the NIPS 2015 website.
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