Research in the field of evolvable hardware can be split into the two related areas of evolutionary hardware design and adaptive hardware. While evolutionary hardware design is the use of evolutionary algorithms for creating innovative (and sometimes patentable) physical designs, the goal of adaptive hardware is to endow physical systems with some adaptive characteristics in order to allow them to operate successfully in a changing environment or under presence of faults. The EHW@FIT group does research in both areas. We also pioneered a design method in which an evolutionary algorithm is used to approximate digital circuits to obtain a good trade-off between the quality output and power consumption. Recently, we have been working on hardware accelerators of approximate neural networks.
Evolvable Hardware (EHW@FIT)
- IndustryCybersecurity, Electronics & Sensors, Information & Communication Technologies, Test & Measurement Instrumentation
- InstitutionBrno University of Technology
- Faculty / InstituteFaculty of Information Technology
- Research typeApplied, Basic, Experimental
- Research areaAgentic AI, AI for Science, Data Science, Generative AI, Human-AI Interaction, Interdisciplinary, Knowledge Representation & Symbolic Reasoning, Machine Learning, Computer Vision & Video Analytics, ML/AI Hardware, Natural Language Processing (NLP), Recommender Systems
genetic programming, hardware accelerator, approximate computing, neural network, digital circuit design, FPGA, electronic design automation, optimization, formal verification, modeling, energy efficiency, neural architecture search, autoML, transformer, arithmetic circuits
- ContactLukáš Sekanina
- Emailsekanina@fit.vutbr.cz
- Websitehttps://ehw.fit.vutbr.cz/
- AddressBožetěchova 2, 612 00 Brno