Building AI Solutions with Google OR-Tools - Barry Stahl
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- čas přidán 24. 07. 2024
- We depend on Artificial Intelligences to solve many types of problems for us. Some of these problems have more than one possible solution. Handling those problems with more than one solution while building a modern AI system is something every developer will be asked to do over the course of his or her career. Figuring out the best way to utilize the capacity of a device or machine, finding the shortest path between two points, or determining the best way to schedule people or events are all problems where mathematical optimization techniques and tooling can be used to quickly and efficiently find solutions.
This session is a software developers introduction to using mathematical optimization in Artificial Intelligence. In it, we will explore some of the foundational techniques for solving these types of problems, and use the open-source Google OR-Tools to put them to work in our AI systems. Since this is a session for developers, we'll keep it in terms that work best for us. That is, we'll go heavy on the code and lighter on the math.
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After working for 2 years on an Google OR tools project, I realize the importance of waiter's example given in the video. Barry just nailed the Google OR topic in this video.
Very great explanation. Thank you Mr. Barry!
Thank you very much for the explanation, I really enjoyed watching the video
29:00 solutions could be not only top or crossed axes and also lays on functions of constraints. And right answer is 8 possible solutions.
watching this video in 2023 hits different when he started explaining what is artificial intelligence.. wow 2017 is not to long ago!
Thanks you very much for great Explernation
Great talk.
can we say that OR is like machine learning but limited amount of data ? ?
No, we can't. Different concepts for -usually- different problems.
what's full form of OR in OR-Tools?
Operations Research