EvoAI Hardware Group

The research is primarily focused on two areas: (1) The design, modeling, and implementation of hardware accelerators for AI methods (deep neural networks, genetic programming, etc.). (2) The use of AI, especially evolutionary algorithms, for the automated design of computer circuits such as arithmetic circuits. Inspired by nature and supported by AI, we develop highly optimized hardware and software. The members of the group are internationally recognized researchers in the fields of nature-inspired methods and models (genetic and evolutionary algorithms, neurocomputing and cellular computing), digital circuit design, FPGA technology, and approximate computing. Applications of these methods include automated logic synthesis and circuit optimization, adaptive hardware, automated neural network design, and optimization in the areas of image processing, security, transportation, and engineering.

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What do we do?

Evolutionary circuit design

evolutionary design of complex circuits, formal methods in the fitness function, approximate circuits, CGP - coevolution, multi-objective design, accelerators.

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Approximate computing

Introducing the errors to the computation to achieve high power efficiency.

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Applications

cellular automata, logic synthesis & optimization, image filtering, polymorphic electronics.

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Books

Evolvable Components

Evolvable Coponents

Sekanina, L: Evolvable Components. Natural Computing Series, Springer-Verlag, 2004

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Evolucni Hardware

Evolucni Hardware

Sekanina L., Vašíček Z., Růžička R., Bidlo M., Jaroš J., Švenda P.: Evoluční hardware: Od automatického generování patentovatelných invencí k sebemodifikujícím se strojům. Academia Praha, 2009

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Evolutionary Design...

Evolucni Hardware

Bidlo M.: Evolutionary Design of Generic Structures Using Instruction-Based Development. Brno University of Technology, 2010

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Ordinary and Polymorphic Circuits

Ordinary and Polymorphic Circuits

Gajda Z., Sekanina L.: Recent Advances in Evolutionary Synthesis and Optimization of Ordinary and Polymorphic Circuits. Brno University of Technology, 2011

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Collaboration


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