Federal Circuit Narrowed Spectrum Of Patent Eligible Machine Learning Claims
Recentive owns four patents related to television broadcast program scheduling optimization (US Patent Nos. 11,386,367; 11,537,960; 10,911,811; and 10,958,957). Belonging to two different families, all four patents nonetheless rely on machine learning techniques to carry out the claimed methods. As described by the specification of one of the patents, the claimed inventions could utilize "any suitable machine learning technology" including "a gradient boosted random forest, a regression, a neural network, a decision tree, a [...]