Category: Distributed Computing

What does Scalability mean in ML

Posted in Distributed Computing, Reinforcement LearningTagged Leave a Comment on What does Scalability mean in ML

Share on facebook Share on twitter Share on linkedin Everybody claims to be building “scalable system”. That is a lie. “Scale” really refers to two things: efficient system as the problem size grows, and efficient as the system size (measured in numbers of cores or compute nodes) grows. Efficient system is one that wastes very […]

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Transform Manufacturing with AI

Posted in Distributed Computing, Reinforcement Learning, Unsupervised LearningTagged Leave a Comment on Transform Manufacturing with AI

This short video below is a wonderful way to think about how to transform manufacturing jobs in the age of Artificial Intelligence. World with AI needs more people who can think, not move objects from one place to another. “Robots can’t think for themselves. Somebody still has to program the Robots. Somebody has to tell the […]

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