The basis of intelligence – how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines – is arguably the greatest problem in science and technology. To solve it, we will need to understand how human intelligence emerges from computations in neural circuits, with rigor sufficient to reproduce similar intelligent behavior in machines. Success in this endeavor ultimately will enable us to understand ourselves better, to produce smarter machines, and perhaps even to make ourselves smarter. Today’s AI technologies, such as Watson and Siri, are impressive, but their domain specificity and reliance on vast numbers of labeled examples are obvious limitations; few view this as brain-like or human intelligence. The synergistic combination of cognitive science, neurobiology, engineering, mathematics, and computer science holds the promise to build much more robust and sophisticated algorithms implemented in intelligent machines. The goal of this course is to help produce a community of leaders that is equally knowledgeable in neuroscience, cognitive science, and computer science and will lead the development of true biologically inspired AI.
Brains, Minds and Machines
Directors: Gabriel Kreiman, Children’s Hospital, Harvard Medical School; and Tomaso Poggio, Massachusetts Institute of Technology
Location: Marine Biological Laboratory, in Woods Hole, MA.
Course Dates: Aug. 13 – Sept. 3, 2017
Deadline: March 14, 2017
The International Conference on Complex Networks and their Applications aims at bringing together researchers from different scientific communities working on areas related to complex networks.
Two types of contributions are welcome: theoretical developments arising from practical problems, and case studies where methodologies are applied. Both contributions are aimed at stimulating the interaction between theoreticians and practitioners.
The 6th International Conference on Complex Networks and Their Applications
November 29 – December 01 2017
Lyon, France, 4 – 8 September 2017
Create, play, experiment, discover: revealing the experimental power of virtual worlds
ECAL, the European Conference on Artificial Life, is a biennial scientific gathering supported by the International Society for Artificial Life (ISAL)
August 23-25, 2017
The objective of this Seventh Recurrence Plot Symposium is to encourage the exchange of knowledge and new ideas among scientists working in scientific disciplines of time- and spatial-series analyses. Recurrence plots and their quantifications are general methods for visualizing and analyzing both linear and nonlinear time-series data. After 30 years we continue to witness ongoing technical developments related to recurrence plots in both theoretical and practical domains. Some of these include: linkage of recurrence plots to network theory, inferences regarding directional couplings, identification of various spatio-temporal chaotic patterns, realization of tetherings across multiple scales of emergence, etc. Applications of recurrence plots are ever-expanding into such areas like mathematics, neuroscience, physiology, psychology, weather and climate patterns, financial systems, and linguistics. This symposium will provide a unique forum to facilitate the correlation of recent theoretical developments in recurrence science with applications from various and diverse fields of inquiry. We welcome both theoretical and applied contributions that effectively implement recurrence plots, recurrence quantifications and their related methodologies.
Deadline abstract submission: April 3, 2017