In a first case of its kind,
This decision, on one hand, provides a road map that skilled counsel can follow to draft patents that are more likely to withstand eligibility challenges, but, on the other hand, could make patenting artificial intelligence inventions more nuanced absent due care.
The invention in the
The machine-learning technology is a support vector machine, or SVM, and recursive feature elimination, or RFE. The claims are directed to training an SVM on training data and then using the trained SVM to find patterns in live data.
The court analyzed the claims using the two-step framework set forth in the
In Alice step one, the court determined that the claims were directed to an abstract mathematical concept of SVM-RFE. This is because the claims recited a mathematical technique that ranked and eliminated features using the SVM-RFE.
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Originally Published by Law360
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