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The Creating Helpful Incentives to Protect Semiconductors Act (the CHIPS Act or the Act) was signed into law in August 2022, providing for a total of $52.7 billion in appropriations from 2023 through 2027. This article describes certain key developments in the period from passage of the CHIPS Act through the present day, including a summary of commitments by semiconductor companies to increase capital investment in the United States (possibly reflecting incentives created by the legislation). We also provide a brief survey of key grantmaking and investment activity by U.S. government agencies since passage of the Act. Finally, we discuss the Act’s likely future, as well as analogous policy developments in critical East Asian manufacturing centers.
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Blockchain Domains: New Developments for Brand Owners
By John McElwaine
Blockchain domain names offer decentralized alternatives to traditional DNS-based domain names, promising enhanced security, privacy and censorship resistance. However, these benefits come with significant challenges, particularly for brand owners seeking to protect their trademarks in these new digital spaces.
AI Can Facilitate Innovation, But It Can Also Become a Potent Patent Killer
By Michael K. Friedland
When is an inventor not an inventor? It’s when the inventor isn’t human. So, if a non-human inventor can’t, in the eyes of patent law, be an inventor, what role can the non-human inventor have in the patent system? The answer is straightforward. Even though it can’t create, it can destroy.
Patent Your Trade Secrets In Wake of Noncompete Ban
By Daniel E. Rose
While it may be growing more difficult to protect business information with the FTC’s noncompete ban, patents can provide strong protection over technical innovations, regardless of whether the inventor stays with the company or leaves.
Key Takeaways from the Latest USPTO Guidance on AI
By James DeCarlo
The April Guidance, which supplements prior guidance issued in February, seeks to remind practitioners of existing rules and to educate them on potential risks associated with artificial intelligence tool use, allowing practitioners to mitigate these risks.