Posts in Technology & Innovation

Patent Landscape for Quantum Computing: A Survey of Patenting Activities for Different Physical Realization Methods

The year 2023 marked another year of rapid advancements in quantum computing technology, showcasing significant progress in key areas such as scalable quantum computing and quantum error correction. Multiple physical realization approaches or modalities for creating quantum bits (qubits) are under development, offering different tradeoffs in performance metrics such as qubit count, error rate, decoherence time, and gate speed. Patenting activities are effective indicators of innovation speed and resource distribution in a technology field. As 2024 begins, this post explores the newest development focus and trends in the quantum computing industry through the angle of its patent landscape and discusses strategic considerations for patenting in this rapidly evolving field.

USPTO AI Guidance Reiterates DABUS Decision

The U.S. Patent and Trademark Office (USPTO) today released guidance for determining inventorship of artificial intelligence (AI)-assisted inventions. As the Office has previously stated, the guidance clarifies that “while AI-assisted inventions are not categorically unpatentable, the inventorship analysis should focus on human contributions, as patents function to incentivize and reward human ingenuity.” The USPTO issued a call for comments on AI inventorship in February 2023. That Federal Register Notice (FRN) asked the public to respond to 11 questions, including “how does the use of an AI system [in the invention process]…differ from the use of other technical tools”; whether AI inventions may be patentable under current patent laws on joint inventorship by, for example, simply listing the natural person involved in inventions created by AI machines; and whether statutory or regulatory changes should be made to better address AI contributions to inventions.

What Are the Risks of Generative AI for the Patent Law Profession?

For many legal professionals, artificial intelligence platforms are being adopted at a speed that they think is imprudent. Well-respected patent and intellectual property thought leaders have been very open about their concerns on this point. From client confidentiality to patentability, risks posed by the use of generative AI systems must be eliminated by AI companies themselves before they partner with the patent law profession.

Vidal Clarifies Application of Existing USPTO Professional Conduct Rules to AI

U.S. Patent and Trademark Office (USPTO) Director Kathi Vidal has released a guidance memorandum for the Trademark and Patent Trial and Appeal Boards (TTAB and PTAB) on the misuse of artificial intelligence (AI) tools before the Boards that largely clarifies the application of existing rules to AI submissions. The announcement is a precursor to a coming Federal Register Notice that will provide additional guidance on the use of AI tools for the public and other USPTO departments. The guidance document suggests that part of its impetus was Supreme Court Chief Justice John Roberts’ recent year-end report, which acknowledged both the benefits and dangers of AI in the context of the legal profession.

HHS Denies Appeal of Xtandi March-In Petition as Comments Close on Proposed Framework

One day before comments closed on the Draft Interagency Guidance Framework for Considering the Exercise of March-In Rights, published by the National Institute of Standards & Technology (NIST) and the Department of Commerce last month, the Department of Health and Human Services (HHS) denied an appeal of a decision not to march in on the blockbuster prostate cancer drug, Xtandi®.

Top 10 Software Patent Myths and How to Free Yourself from Them

The first software patent was granted in 1968. It’s now been three decades since the “Year of the Algorithm” in 1994, when cases such as In re Allapat, In re Lowry, and In re Beauregard initiated a wave of software patents. Well over half of U.S. patents granted annually are at least “software-related,” and even a cursory search of U.S. patents reveals software patents in fields ranging from encryption to speech recognition to network security. Why, then, do so many people continue to think that software cannot be patented at all? What explains the stark contrast between the long-standing legal reality and the beliefs of otherwise well-informed engineers, high-tech business people, and even some lawyers?