Fox Succeeds in Scrapping Machine Learning Claims at CAFC Under 101
a year ago
- #patent law
- #CAFC
- #machine learning
- The U.S. Court of Appeals for the Federal Circuit (CAFC) ruled that applying established machine learning methods to a new data environment is not patent eligible under Section 101.
- Recentive Analytics sued Fox Corp. for infringing four patents related to optimizing live event scheduling and network maps in the entertainment industry using machine learning.
- The district court dismissed the case, stating the patents were directed to abstract ideas and lacked an inventive concept, a decision upheld by the CAFC.
- The CAFC noted that merely speeding up human tasks with machine learning does not make a claim patent eligible.
- The court emphasized that while machine learning is important, patents must disclose improvements to the models, not just their application in new environments.
- Pillsbury Wintrhrop Shaw Pittman LLP, representing Fox, highlighted the decision's implications for AI commercialization and patent eligibility.