The Federal Circuit's decision in Recentive Analytics, Inc. v. Fox Corp. marks a significant ruling concerning patent eligibility of AI-related innovations. The court ruled against Recentive's claims for using established machine learning methods for event scheduling and network optimization, declaring such patents ineligible under Section 101. This judgment emphasizes that simply applying known AI techniques to new data contexts does not confer patentability. The ruling underscores the stringent criteria that inventions must meet to be considered novel under current patent law, particularly for the rapidly evolving AI sector.
The Federal Circuit's decision clarifies that using established machine learning methods in new contexts does not qualify for patent eligibility under Section 101.
The court emphasized that merely applying known methods to new data does not make the claims patent eligible, highlighting the limitations imposed by the current patent law.
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