Explore DocHub’s ChatGPT-assisted features to Summarize Patent with AI in Manufacturing industry

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Aug 6th, 2022
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01. Upload a document from your computer or cloud storage service.
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02. Modify your document or let the ai PDF editor summarize, rewrite, or proofread your PDF.
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03. Sign your document online in a few clicks.
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04. Send, export, fax, download, or print out your document.

How to effortlessly manage paperwork and Summarize Patent using AI in Manufacturing industry with DocHub

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Have you ever thought Artificial Intelligence to help you in managing business paperwork? Today you can do whatever you want, and even Summarize Patent with AI in Manufacturing sector effortlessly with our ChatGPT-driven solution. It will give you valuable suggestions for modifications, which you can apply in total or manually improve upon. Everything will take you only a few simple clicks.

Here’s the guide on how to effortlessly Summarize Patent using AI in Manufacturing industry:

  1. Register or log into our system to start adjusting your files.
  2. Import your form to the Dashboard from your device or the cloud.
  3. Open our editor and launch the AI DocHub robot to process your Patent.
  4. Choose the appropriate button to Summarize your form using AI.
  5. Look through the recommendations and make extra adjustments on your own if needed.
  6. Verify your work, sign and request signatures (if needed), and proceed to file-saving options.

Enjoy positive effects of GPT support within your document editor. Work on your business forms efficiently and complete tasks rapidly with DocHub. Give it a try now!

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How Many AI Patents Are There? The number of AI patents has surged over the last few years; there are roughly 18,753 as of 2021. The largest increase in AI patents filed was in 2022, recording the highest average annual growth rate (AAGR) of 28%.
As I explained in an August 2022 TechTank post, the Federal Circuits decision that month in Thaler v. Vidal made clear that the definition in the Patent Act of inventor requires that inventors be human. Therefore, under current patent law, naming AI systems as inventors isnt possible.
AI/ML subject matter becomes patent-eligible only when it achieves a technical purpose and, at minimum, offers a technical effect that does more than performing the solution more quickly or efficiently. The general application of AI/ML to solve a problem predictably is not eligible for patentability.
ing to the United States Patent and Trademark Office (USPTO), Currently, applicants are neither required nor generally permitted to submit any type of working model with their patent application unless the USPTO deems it necessary for any purpose in examination of the application. Instead, most inventors today
Last year, in the case of Thaler v. Vidal, the Federal Circuit affirmed that only natural persons (i.e., human beings) can be named inventors on U.S. patents, thereby excluding artificial intelligence from being listed as an inventor per se.
However, algorithms can be patented when they are broken down into steps. Because algorithms are abstract, they cannot be patented in their entirety.
A machine learning algorithm must satisfy the requirements for patentability, which include invention, non-obviousness, and usefulness, in order to be qualified for a patent. This implies that the method must be novel, not readily apparent to an expert in the topic, and have some value or practical application.
The patents owner, AI pioneer Stephen L. Thaler, created the inventor, the AI system known as Dabus (device for the autonomous bootstrapping of unified sentience). The patent success in South Africa was thanks to Thalers attorney, Ryan Abbott.

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