How ML Helps to Manage the Google Cloud Infrastructure When submitting a job to a cloud, a user specifies limits on the jobs’ resource usage. However, humans are notoriously bad at predicting, especially predicting non-tangible resources such as CPU cores […]
XAI + AutoML – new shiny toys During the talk I will present some new results in the area of eXplainable Artificial Intelligence and Automated ML. In the first part I will overview methods for local model exploration for tabular […]
Graph neural networks in traffic optimization Graph neural networks are becoming more and more popular and find applications in many areas. In this talk, I will present a new architecture of neural networks built based on a topology of a […]
Efficient Machine Learning for Augmented Reality on Microsoft HoloLens Many of the current and upcoming mixed reality devices have features that rely on computer vision and machine learning. Since all of those devices operate at high framerates and the content […]
Azure, ML Services, DevOps Machine learning and AI are not just buzzwords – but a regular component of modern solutions. In this session, we will look at how to build an environment where Data Scientist and Programmer can create a […]
Comixify.ai – turning videos into comics with AI Comixify turns videos into comics. First we select representative and visually pleasant frames using machine learning model trained on thousands of images shared on social media and then we transform their style […]
Draw a classifier – an interactive game I will show a demo of an educational game based on drawing 2d-classifiers. It is browser-based (in Vue.js) and designed to provide key insights into supervised machine learning. Moreover, I want to show […]
CNN performance optimisations Abstract For recent years, DL dominated almost all disciplines of our life. From toys through medicine, autonomous cars up to space exploration. Nevertheless, the further we move the more computing power we need. As hardware capabilities are […]
PyTorch 1.0 PyTorch is one of the main tools used for machine learning research these days. It’s been developed in beta mode for 2 years, but this December, a for 1.0 version has been finally released! In this talk, I’ll […]
Object detection and instance segmentation We will review the progress of detection algorithms in computer vision with the more in-depth analysis of the state of the art solutions. Starting from the problem definitions, through the historical challenges and advances, towards […]
