on 05-06-2017
The Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop aims at bringing together people from statistics, engineering, mathematics, and computer science, fostering the exchange and dissemination of new ideas and results, both applied and theoretical, on the general area of sparsity-related techniques and computational methods, for high dimensional data analysis, signal processing, and related applications.
SPARS 2017 will be held at Instituto Superior Técnico (IST), the engineering school of the University of Lisbon, on June 5-8, 2017.
In addition to 8 plenary lectures, the workshop will feature a single track format with approximately 30 standard (20min) talks, and 3 poster/demo sessions.
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on 26-05-2017
SPEAKER: A.E. (Gusz) Eiben, VU University Amsterdam, on May 26 at 14h30 at FCUL
As outlined in my recent paper [1], the field of evolutionary computing is entering a new phase as evolutionary algorithms that take place in hardware are developed, opening up new avenues towards autonomous machines that can adapt to their environment. In this talk I discuss a vision and a research programme about artificial evolution in physical, rather than digital, spaces. I outline the concept of EvoSphere, a robotic ecosystem that evolves in real space and real time and review on-going activities towards the first proof-of-concept implementation. I argue that constructing systems of self-reproducing machines will lead to a new, exciting mix of evolutionary computing, robotics, and artificial life with new challenges and opportunities
A.E. Eiben and J. Smith, From evolutionary computation to the evolution of things, Nature, 521:476-482, 2015
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