A ticket to AI & Big Data Day worth its cost. Data Science only touches grand IT business in Lviv and most of the conference participants were true amateurs in this magic in a good sense of the word.
NLP and Deep Learning
The first speaker was Volodymyr Getmanskyi with NLP and NLU in details. What was interested that in this first line of Data Science technologies that were able to show business value quickly they still build models from scratch and using monsters like IBM Watson does not add much value to solve really specific problems.
Continuing talking about speakers from the Eleks company for me it was very interesting to hear about practical modeling of a system that recognizes what people wear from Sergey Shelpuk and Olha Romaniuk. They build and teach a Convolution Neural Network based on 154 layers of Con-Con-MPool design (actually adjusted architecture from the winner of the ImageNet challenge). What was interesting that the main training session lasted for three days using TensorFlow on two Nvidia 1080 GPUs and one CPU.
Data Science in Business and Legal
I visited a business section of the conference to listen Mamed Khalilov about probs in AI startups. His main message was – hey my high-tech friends that start a business in AI – forget about ML (or any other buzzword) in stating goals for you and the team, marketing services or a product to your clients – focus on the business value and use ML as a tool to achieve it. And of course knowledge of the business field – data understanding expertise goes before the deep learning latest trends and other AI techniques.
Ivan Horodyskyy gave us a good head-up on near future legal issues with AI and Robotics in EU. Interesting thing was that the definition of the robot was taken from Golem, Frankenstein, Chapek’s robot and Asimov’s Laws. The main question was the liability, as it turns out, the robot cannot be liable and everything falls on the user/ trainer/ owner/ manufacturer/ designer chain. Hopefully, the EU institution clearly stands that the object of the regulations must have a physical body which is not a concern for a software product as long as it was not placed on some hardware.
My favorite topic on the conf was from Dmytro Peleshko who is working on computer vision problems. His ideas and results in background detection, classification, object tracking and recognition inspired me for new steps in my works related to object movement tracking. We had a very good discussion on the problem of multiple objects intersection and identification in distributed cameras system during which I shared my solution on the shadow suppression problem.
I liked the conf pretty much, the only thing to adjust is the frequency of such events. One year means a lot if we count it from the Moore’s Law standpoint.
Information Technology & Data Science