This talk is involved in artificial intelligence and knowledge representation using deep neural networks beyond the traditional approaches. First it will give a summary of the development in recent years and especially it will be focused on the most significant events in 2018 that have potential to form further development of the field. Then also some recommendations will be provided how these recent findings can help to improve accuracy of existing neural networks and also some inspiration how the others succeeded in public competitions. Second it will summarize current one of the most successful methods such as deep convolutional neural networks, their features and their limitations compared to human capabilities. Also some advanced architectures of neural networks for knowledge modelling will be introduced that has potential to overcome some of these limitations.
Radim Burget is an associate professor at Brno University of Technology and is heading Signal processing program at SIX Research Centre. He is involved in research of artificial intelligence for many years and was involved in plenty of research projects which includes projects funded on European and national level or privately funded projects as well with companies such as Honeywell, Mitsubishi Electric, Rapidminer, Webnode and other.
- 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 subsequent networking. At the end of the year 2016, MLMU also spread to Brno and Bratislava.