Machine Learning Models Predicting Dangerous Seismic Events

Machine Learning Models Predicting Dangerous Seismic Events

Underground mining poses a number of threats including fires, methane outbreaks or seismic tremors and bumps. An automatic system for predicting and alerting against such dangerous events is of utmost importance – and also a great challenge for data scientists and their machine learning models. This was the inspiration for the organizers of AAIA’16 Data Mining Challenge: Predicting Dangerous Seismic Events in Active Coal Mines.

CodiLime is second fastest-growing tech firm in Central Europe – 2016 Deloitte CE Technology Fast 50 list announced

CodiLime is second fastest-growing tech firm in Central Europe – 2016 Deloitte CE Technology Fast 50 list announced

Menlo Park, CA and Warsaw-based CodiLime ranks 2nd in this year’s Deloitte Central Europe Technology Fast 50 list of the region’s fastest-growing tech companies. CodiLime provides IT consulting and software engineering services in three core areas: networks, security as well as Big Data & deep learning through its deepsense.io subsidiary.