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Hudnell Law Group

Federal Circuit Issues First Word on AI Patent Eligibility

Hudnell Law Group on

On April 18, 2025, the United States Court of Appeals for the Federal Circuit affirmed the dismissal of a patent infringement suit brought by Recentive Analytics, Inc. against Fox Corporation. See Recentive Analytics, Inc. v....more

McDermott Will & Emery

Broadcast Alert! Applying Conventional Machine Learning to New Data Isn’t Patent Eligible

McDermott Will & Emery on

The US Court of Appeals for the Federal Circuit affirmed a district court’s ruling that patents applying established machine learning methods to new data are not patent eligible under 35 U.S.C. §101. Recentive Analytics, Inc....more

Mintz - Intellectual Property Viewpoints

Overcoming Patent Challenges for AI/ML-Assisted Life Sciences (TechBio) Inventions: Strategies for Navigating Section 101 at the...

The integration of artificial intelligence (AI) and machine learning (ML) into the life sciences field has created exciting new opportunities for advancements in diagnostics, therapeutics, and personalized medicine. However,...more

Troutman Pepper Locke

Leveraging Policy Changes to Achieve AI Patent Eligibility

Troutman Pepper Locke on

The patent landscape for artificial intelligence is poised to undergo significant transformation. Originally published in Law360 - August 23, 2024....more

Procopio, Cory, Hargreaves & Savitch LLP

Overcoming Obstacles to Securing Patents for AI-Related Inventions

Companies in multiple industries are experimenting with artificial intelligence to generate specific solutions to long-standing challenges. To this end, numerous companies are filing patent applications for inventions...more

Mintz - Intellectual Property Viewpoints

Examining Art Units to Avoid Subject Matter Eligibility Challenges for Bioinformatics and AI-related Patents

Overview of Subject Matter Eligibility Challenges Computer-based - inventions – especially in the machine learning (ML), bioinformatics, and artificial intelligence (AI) fields – are susceptible to subject matter...more

Sheppard Mullin Richter & Hampton LLP

Machine Learning Patentability in 2019: 5 Cases Analyzed and Lessons Learned Part 2

This article is the second in a five-part series. Each of these articles relates to the state of machine-learning patentability in the United States during 2019. Each of these articles describe one case in which the PTAB...more

Sheppard Mullin Richter & Hampton LLP

Machine Learning Patentability in 2019: 5 Cases Analyzed and Lessons Learned Part 1

This article is the first of a five-part series of articles dealing with what patentability of machine learning looks like in 2019. This article begins the series by describing the USPTO’s 2019 Revised Patent Subject Matter...more

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