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Barish Ozdamar

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Articles

Federal Circuit Opinion On Patent Eligibility Of Machine Learning Applications Underscores Potential Value Of Trade Secrecy To Protecting AI Innovation

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By Joshua Lerner, Barish Ozdamar, Omar Khan, Nick Werle
| Mondaq
On April 18, 2025, the Federal Circuit published an opinion in Recentive Analytics, Inc. v. Fox Corp. holding that patents claiming the application of existing machine learning models "to new data environments, without disclosing improvements to the machine learning models to be applied, are patent ineligible under §101" and citing Alice Corporation v. CLS Bank Int'l, 573 U.S. 208 (2014).
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Federal Circuit Opinion on Patent Eligibility of Machine Learning Applications Underscores Potential Value of Trade Secrecy to Protecting AI Innovation | WilmerHale - JDSupra

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By Omar Khan, Joshua Lerner, Barish Ozdamar
| JD Supra
On April 18, 2025, the Federal Circuit published an opinion in Recentive Analytics, Inc. v. Fox Corp. holding that patents claiming the application of existing machine learning models “to new data environments, without disclosing improvements to the machine learning models to be applied, are patent ineligible under § 101” and citing Alice Corporation v. CLS Bank Int’l, 573 U.S. 208 (2014).
Open in Who Shared Issue with article?

Federal Circuit Opinion on Patent Eligibility of Machine Learning Applications Underscores Potential Value of Trade Secrecy to Protecting AI Innovation

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By Joshua Lerner, Barish Ozdamar, Omar Khan, Nick Werle
| wilmerhale.com
On April 18, 2025, the Federal Circuit published an opinion in Recentive Analytics, Inc. v. Fox Corp. holding that patents claiming the application of existing machine learning models “to new data environments, without disclosing improvements to the machine learning models to be applied, are patent ineligible under § 101” and citing Alice Corporation v. CLS Bank Int’l, 573 U.S. 208 (2014).
Open in Who Shared View Duplicates (2) Issue with article?
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