Federal Circuit Narrowed Spectrum Of Patent Eligible Machine Learning Claims

Recentive owns four patents related to television broadcast program scheduling optimization (US Patent Nos. 11,386,367; 11,537,960; 10,911,811; and 10,958,957). Belonging to two different families, all four patents nonetheless rely on machine learning techniques to carry out the claimed methods. As described by the specification of one of the patents, the claimed inventions could utilize "any suitable machine learning technology" including "a gradient boosted random forest, a regression, a neural network, a decision tree, a [...]

Thinking Globally: International Patent Filing And Inventors’ Rights

Filing a patent internationally demands attention to many considerations including subject matter, where to file, budgets, timing, translations, and local legal and procedural frameworks. There are several jurisdiction-specific legal issues related to filing of patent applications that are more commonly appreciated such as the need to recognize where the subject invention was made and the citizenship and residency of the inventors. As corporations reach across the world for innovative ideas, it becomes increasingly important [...]

The Evolving And Expanding Role Of AI In US Patent Litigation

Artificial intelligence (AI) has become a transformative force in many industries. Its impact on the legal field — including in patent litigation in the US — is both evolving and expanding. This article examines the practical uses of AI in patent litigation, focusing on where these technologies are making a difference and what challenges accompany their adoption. Practical uses and benefits of AI in US patent litigation AI is increasingly used to optimize various [...]
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