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Intuitivo achieves higher throughput while saving on AI/ML costs using AWS Inferentia and PyTorch

AWS Machine Learning Blog

However, our camera-based solution, which eliminates the need for weight sensors, RFID, or other high-cost sensors, requires no maintenance and is significantly cheaper. He has a deep commitment to excellence, that’s why he consistently delivers resilient solutions that push the boundaries of what’s possible.

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Will AIs Take All Our Jobs and End Human History—or Not? Well, It’s Complicated…

Hacker News

There’s—almost by definition—one fundamental thing: define what we would consider goals for what to do. And, yes, if we make an “artificial human” we can expect it (by definition) to show all the features of us humans. And each of these things—and many more—will open up new jobs. We’ll talk more about this later.

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Meet the winners of the Unsupervised Wisdom Challenge!

DrivenData Labs

To help solvers engage with such an open-ended problem, the competition website included guiding questions and examples of analyses that would and would not be a good fit for the competition. For overall prizes, solutions were evaluated against the weighted criteria of novelty (35%), communication (25%), rigor (20%), and insight (20%).

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Deploying ML Models on GPU With Kyle Morris

The MLOps Blog

I’d say that’s the main difference from the traditional system. The main goal of using GPU of course, for anything is to speed up the inference time. How to actually open it up and see what’s going on and then just ask questions. Kyle, you definitely touched upon this already. So, you definitely can.

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