mindtalks artificial intelligence: Traffic4cast competition calls on AI community to better predict urban traffic flows – GlobeNewswire – picked by mindtalks
- Second annually competition for machine learning health professionals to further improve planning tools for city mobility
- Top ranked teams obtain prize money, research fellowships, recognizes at NeurIPS 2020
4 June, 2020
Vienna – The Institute for Enhanced Research in Artificial Intelligence (IARAI), persistent and global machine-learning basic research institute established by HERE Technologies, today announced another annual Traffic4Cast competition. This year’s competition available for the AI community expands your datasets and number of urban centers being analyzed. Participants must create algorithms that predict future targeted traffic flows for at least 11 cities.
The success involving Traffic4cast 2019 resulted in around 40 teams competing around the particular world with winners from To the south Korea, Oxford/Zurich and Toronto. All of the top-ranked teams demonstrated that nerve organs networks were the right method applied at predicting traffic instead connected with “non-black box” solutions. The wonderful Traffic4cast 2019 solutions are now being penned in a special NeurIPS amount of the ‘Proceedings of Machine Understanding Research’ journal.
Submissions in this year’s competition are due by October 15, 2020. The top-ranked teams will be honored around the NeurIPS 2020 conference, may have an opportunity to find out their solutions published in a fabulous special NeurIPS volume of this ‘Proceedings of Machine Learning Research’ journal, and receive:
- initially prize: $10, 000 USD price and 12-month Research Fellowship to IARAI, covering stipend and expenses;
- 2nd prize: $5, 000 USD value and 12-month Research Fellowship at IARAI, covering stipend and expenses;
- 3rd prize: $2, 000 USD value and appreciation registration for NeurIPS 2020
- 1st – 6th gifts: complimentary registration for NeurIPS 2020.
Join up now to contend and join the Traffic4Cast 2020 Forums
In collaboration with HERE, IARAI is providing participants by using an unprecedented amount of targeted traffic data for at least 20 entire cities through the training of a full year. The data has been transformed into hi-definition movie clips that, frame by just frame, depict traffic over time period, including morning, evening and hurry hour traffic events.
Brand new for this year’s competition, the particular traffic movie clips shall be increased by static and dynamic characteristics, such as points of appeal, weather, crumb, and special races. The bonus challenge invites contributors to explore the effects all these additional features have on predictive traffic models.
“We’re enthusiastic to call upon the global AJE community to take on the Traffic4Cast 2020 competition, ” explained Sepp Hochreiter, a founding co-director of IARAI and an fabricated intelligence pioneer, who invented your long short-term memory (LSTM) neural network architecture. “Last year, groups demonstrated novel approaches to understanding complex traffic systems based for applications of neural networks. Generating on this excitement as well as a precise opportunity to improve urban movability, this year’s competition is specific ongoing deeper and to your next level in understanding complicated traffic systems. ”
“Following the success of last year’s IARAI Traffic4Cast competition results, this is clear that neural networking architectures will play an ever more significant role in terms of guessing future traffic patterns and creating mobility smarter and cleaner, ” said Giovanni Lanfranchi, Senior Perversité President Development and Chief Technologies Officer at HERE Technologies. “By leveraging extensive HERE traffic datasets and location data, our pray is that this year’s opposition participants will be even much better equipped with the tools they should attain a higher level connected with traffic prediction accuracy in their own models. ”
Media Contacts
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Jordan Stark
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Concerning IARAI
The Institute for Advanced Research in Man made Intelligence (IARAI) will be an independent, international machine-learning research institute. Research from the institute advances basic as well as applied research in Artificial Thinking ability. Critical analyses and fundamental studies seek novel insights that condition the future of our arena. Try a Theory of AJAI, Prediction through Description, and World Simulation pursue a deeper understanding for white-boxing Artificial Intelligence. The institute is led by Prof. Hochreiter (Linz), Dr Kopp (Zurich) and Prof. Kreil (Vienna), together with runs an international scientific change hub from the new offices around Vienna. IARAI is proudly construction an unique environment of industry class researchers and industrial level, real-world data openly distributed to typically the scientific community: https://www.iarai.ac.at/
About HERE Technologies
HERE, a location data and also technology platform, moves people, corporations and cities forward by harnessing the power of location. By way of leveraging our open platform, we empower our customers to realize better outcomes – from aiding a city manage its facilities or a business optimize the assets to guiding drivers to the destination safely. To learn extra about HERE, much more www.here.com and http://360.here.com .
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