Yes, we can improve it with Evolutionary Computation! - Lukáš Sekanina
Evolutionary computation (EC) was significantly developing in the last two decades. EC methods can now provide high quality solutions to complex multi-objective design and optimization problems in many areas of research and engineering.
In this talk, I will survey main principles and branches of EC and show typical applications of EC. In particular, EC will be presented in connection with approximate computing – a recent approach introduced for developing faster, more energy efficient, and less complex computer systems in which the correctness requirement can be relaxed to some extent.
Case studies will be focused on evolutionary approximation of digital circuits that are crucial for low power image processing, deep neural networks and other systems on a chip.
Lukáš Sekanina is currently a full professor and Head of the Department of Computers Systems at Faculty of Information Technology, Brno University of Technology, where he also received his Ing. and Ph.D. degrees. He was a visiting professor with CEI UPM Madrid (2012), Pennsylvania State University, Erie (2001) and visiting researcher with Department of Informatics, University of Oslo (2001).
Lukáš (co)authored over 150 papers mainly on genetic programming, approximate computing, applications of bio-inspired AI and digital circuit design. His research results were awarded with one Golden and two Silver medals at the Humies competition annually organized at GECCO.
- Networking (ImpactHub)
Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and a subsequent networking. At the end of the year 2016, MLMU spread also to Brno and Bratislava.