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Wednesday, October 25, 2023 1:40:54 AM
Supposedly modern branch predictors use something called a perceptron. In a quick internet search, it appears that the perceptron is similar to an SVM, but different enough. Generally speaking, SVM works by training on a large dataset, usually running on something like a Xeon server to generate a model for the customer. That model is then used to classify future data points. This would be inappropriate for the branch predictor as it is updated in real time, and hence needs to be very fast. Again, the patent for SVM-RFE is but a small subset of SVM.
I think the whole "Xeon" thing is a red herring. In several different publications Intel has coupled Xeon with SVM-RFE. This is Intel marketing attempting to sell Xeon servers to companies that want to use an SVM algorithm, which is substantially different than claiming the SVM-RFE algorithm is embedded in the Xeon CPU. Most AI training (some of which use SVM) is done on very large compute systems with many NVIDIA GPU's, and Intel is still trying to break into this market.
I'll take a shot at directly answering your question about how they would determine that an Intel product violates the patent. The direct approach would be a whole bunch of depositions of Intel design engineers asking them the right questions about this. Does this chip use machine learning? If so, what machine learning algorithm is used. The hardest part would be finding the right person to ask this question to. An indirect approach would be to hire an outside reverse engineering company like semiconductor insights and have them do an analysis of Intel products looking specifically for this algorithm.
As an aside to this, I was once deposed. The first question the attorney asked me was, "so, you were the project manager for product pdq?" my answer was, "no, I was not". I think depositions are kind of like that old story of a group of blind people examining an elephant and trying to determine what it is.
anyway.. have a good evening, and best of luck,
Alan
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