Drafting Machine Learning Patents Applications - IIPLA
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Drafting Machine Learning Patents Applications

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About the Course:

Unlocking Machine Learning Patents: Expert Insights and Strategies

Meta Description: Don’t miss out on this invaluable webinar led by seasoned patent attorney Gregory Rabin. Gain insights into drafting successful machine learning patents, overcoming eligibility challenges, and more. Join us for this essential discussion!

Introduction: Discover the keys to securing patent coverage for machine learning innovations in this exclusive webinar featuring Gregory Rabin, a senior attorney at Schwegman, Lundberg & Woessner. With over a decade of experience in patent law, Gregory shares invaluable insights and strategies for navigating the complexities of machine learning patent applications.

Key Discussion Points:

  • Understanding Machine Learning: Gain clarity on the definition of machine learning and its distinctions from supervised, unsupervised, and reinforcement learning.
  • Overcoming Examiner Rejections: Learn effective strategies for drafting machine learning claims to address eligibility concerns and increase approval odds.
  • Legal Precedents and Impact: Explore the significance of landmark cases like Enfish v. Microsoft and Core Wireless Licensing S.A.R.L. v. LG Electronics on machine learning patent claims.
  • Navigating Office Actions: Discover best practices for responding to office actions and maximizing success in the patent prosecution process.

About the Course Leader: Gregory Rabin brings extensive expertise to the table as a senior patent attorney at Schwegman, Lundberg & Woessner. With a background in computer science and mathematics from MIT and a J.D. from the University of Michigan Law School, Gregory is well-equipped to address the complexities of machine learning patents. He has spoken widely on patenting innovations in artificial intelligence and machine learning, offering actionable insights to audiences worldwide.

Course Details:

  • Course Leader: Gregory Rabin, Senior Attorney at Schwegman, Lundberg & Woessner
  • Duration: Approx. 1 hour

Don’t Miss Out: Join us for this indispensable webinar and gain the knowledge and strategies needed to navigate the intricacies of machine learning patents successfully. Register now to secure your spot!

Ensure that your content includes relevant keywords such as “machine learning patents,” “patent attorney,” “eligibility challenges,” etc., to enhance SEO performance. Additionally, consider promoting the webinar across various online platforms to maximize visibility and reach.

 

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