Linde and Intel invite you to take part in the Linde.Intel.AI.Challenge: a Hackathon focused on solving the Future of Smart Logistics with Machine Learning and AI.
The aim of the competition is to develop, in teams and over a limited amount of time, innovative solutions for the Challenges below.
Register
If you’re up for the task and accept the Mission - click on register and get ready for some serious fun!
Win great prizes and learn everything you ever wanted to know about the future of Smart Logistics!
Creation of prediction algorithms (RNN based approaches preferred!) for liquid gas tank levels (one day ahead and multi-day forecasts on an hourly basis) of our bulk customers.
Assessment and development of a multi-time series approach (is possible to learn across different customers instead of customer-individual model training? Is it possible to identify clusters/segments of storage vessels whose consumption patterns and behaviour is similar?)
Inclusion of relevant external data (customer individual information (industry, location, weather etc.)
Submissions are expected to be using either R or Python as a programming language.
CHALLENGE 2
Additional prize for best visualization, insights story telling from the provided data. Following aspects can be considered:
Interactive dashboard
Explain the influence of individual features
Clusters of customers/industries/common consumption patterns across groups
You will work on Intel’s AI DevCloud where you’ll have access to thousands of gas tank datasets derived from real locations! You can use your own AI and Machine learning models, as well as training algorithms; clustered and neuronal network setups are also appreciated.
