Explore new possibilities and Compress Patent with AI

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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.

Manage your papers without difficulty and Compress Patent using AI

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The business world never stays in one spot for very long. In the blink of an eye, the epoch of AI solutions appeared. DocHub offers new ChatGPT-powered functions built to simplify your daily document administration. Take full advantage of your routine tasks and redistribute your time to priority objectives. Streamline your document workflows, edit documents, safely eSign documents, and securely store complete papers within your DocHub profile, all in one platform.

The best way to Compress Patent with AI in several steps

  1. Sign in or register a free DocHub profile.
  2. Go to the dashboard and add your file.
  3. When you have uploaded it, proceed to Virtual Assistant, and select Compress function to Compress Patent.
  4. Check the results, make adjustments if needed, and save your changes.
  5. Add fillable fields and assign people to them.
  6. Distribute your document to the recipients and gather details.

You will find it so easy to Compress Patent using AI. Discover our AI-powered functions with DocHub. Start a free trial today.

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Stephen Thaler earned a Ph. D. in Physics from the University of Missouri-Columbia, his thesis research dealing with radiation damage in silicon. In conducting this research, he simulated such damage in computational lattice models, forerunners of modern-day artificial neural networks.
Traditional video compression removes bits of visual information to reduce the overall file size of a video. AI video compression examines the contents of a video to recreate it on a smaller scale. In other words, it creates a hyper-realistic duplicate of the original video.
Yes. If you know anything about compression, you know that compression is very data-dependent. AI tools are very good in classifying data, so they can be used as a pre-processing step to classify the data and then apply the most appropriate compression scheme.
Data compression can dramatically decrease the amount of storage a file takes up. For example, in a 2:1 compression ratio, a 20 megabyte (MB) file takes up 10 MB of space. As a result of compression, administrators spend less money and less time on storage.
Pruning is the most popular technique for model compression which works by removing redundant and inconsequential parameters. These parameters in a neural network can be connectors, neurons, channels, or even layers. It is popular because it simultaneously decreases models size and improves latency.
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.
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.
AI codecs, having been developed over the course of decades, use machine-learning algorithms to analyze and understand the visual content of a video, identify redundancies and nonfunctional data, and compress the video in a more efficient way.

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