A privacy-first API that predicts global consumer preferences
Qloo AI adds value to a wide range of Fortune 500 companies in the media, technology, CPG, hospitality, and automotive sectors.
Through our API, we provide contextualized personalization and insights based on a deep understanding of consumer behavior and more than 575 million people, places, and things.
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Estimating Software for Heavy Construction
Developed specifically for civil construction
Built by an estimator, SharpeSoft Estimator is a fully comprehensive software that allows for a more efficient and quicker job-winning bids. Ideal for civil, utility, heavy/highway, grading, excavating, paving, and pipeline contractors, SharpeSoft Estimator offers advanced features such as Item Master, Subcontractor Comparison, Materials Comparison, Grouped Items, Trench Profiler, Haul Calculations, What-if Scenarios, Batch Reports, and more.
Using reinforcement learning with relative input to train Ms. Pac-Man
This Java-application contains all required components to simulate a game of Ms. Pac-Man and let an agent learn intelligent playing behaviour using reinforcement learning and either Q-Learning or SARSA.
The framework was developed by Luuk Bom and Ruud Henken, under supervision of Marco Wiering, Department of Artificial Intelligence, University of Groningen.