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Recentive Analytics v. Fox Corp. (Fed. Cir., April 18, 2025) 2023-2437

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Manage episode 478866885 series 3661412
Content provided by Randy Noranbrock. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Randy Noranbrock or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This episode is about a United States Court of Appeals for the Federal Circuit opinion regarding a patent dispute between Recentive Analytics, Inc. and Fox Corp. The core issue on appeal is the patent eligibility of Recentive's patents, which relate to using machine learning for generating television broadcast schedules and network maps. The district court had dismissed Recentive's case, finding the patents were directed to ineligible abstract ideas. The Court of Appeals affirms this decision, concluding that merely applying generic machine learning to a new domain without demonstrating an inventive concept or improvement to the machine learning itself is not patent eligible.

This podcast is for entertainment purposes only and does not create an attorney-client relationship. The AI-generated hosts are not attorneys and are not providing legal advice. The choice of a lawyer is an important decision and should not be based solely upon advertisements.

  continue reading

5 episodes

Artwork
iconShare
 
Manage episode 478866885 series 3661412
Content provided by Randy Noranbrock. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Randy Noranbrock or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This episode is about a United States Court of Appeals for the Federal Circuit opinion regarding a patent dispute between Recentive Analytics, Inc. and Fox Corp. The core issue on appeal is the patent eligibility of Recentive's patents, which relate to using machine learning for generating television broadcast schedules and network maps. The district court had dismissed Recentive's case, finding the patents were directed to ineligible abstract ideas. The Court of Appeals affirms this decision, concluding that merely applying generic machine learning to a new domain without demonstrating an inventive concept or improvement to the machine learning itself is not patent eligible.

This podcast is for entertainment purposes only and does not create an attorney-client relationship. The AI-generated hosts are not attorneys and are not providing legal advice. The choice of a lawyer is an important decision and should not be based solely upon advertisements.

  continue reading

5 episodes

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