In a recent PTABWatch article titled “PTAB Provides Some Clarity on Artificial intelligence (AI) Obviousness in IPR decision,” the PTAB’s approach to evaluating obviousness in AI-related patents is examined. The article discusses the case Tesla, Inc. v. Autonomous Devices, LLC, where the PTAB invalidated all challenged claims of U.S. Patent Number 11,055,583, which pertained
To date, the Federal Circuit has not reviewed many cases involving artificial intelligence (AI). However, in a recent case, the Federal Circuit found that a “machine learning” claim element lacked sufficient enablement because both the claim itself and the written description of the patent to which it belonged failed to describe “how” the claimed invention implemented this element. In view of this ruling, patent practitioners should endeavor to explain sufficiently in the written description the specific aspects of how machine learning features (and other computer-implemented invention features) operate in order to demonstrate sufficient enablement.Continue Reading The Federal Circuit hints at Enablement requirements for Artificial Intelligence (AI) Inventions
PatentNext Summary: Artificial Intelligence (AI) typically involves certain common aspects such as training data and AI models trained from that training data. Nonetheless, a recent Patent Trial and Appeal Board (PTAB) decision found that it is not always obvious to combine these common aspects to render an AI-based medical device invention unpatentable.Continue Reading PTAB finds Artificial Intelligence (AI) Medical Device Patent not so Obvious