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Extract Data from Patent using AI in IT

Explore DocHub’s ChatGPT-assisted features to Extract Data from Patent with AI in IT industry

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Aug 6th, 2022

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01. Upload a document from your computer or cloud storage service.

02. Modify your document or let the ai PDF editor summarize, rewrite, or proofread your PDF.

03. Sign your document online in a few clicks.

04. Send, export, fax, download, or print out your document.

How to Extract Data from Patent using AI in IT industry and streamline your document management tasks with DocHub

Dealing with business documentation can be burdensome and time-consuming, even with comprehensive but old-fashioned operating editors. However, tools assisted by Artificial Intelligence capabilities can make your work much easier. Try DocHub to Extract Data from Patent with AI in IT industry and get your forms ready in just minutes.

Take these steps to Extract Data from Patent using AI in IT sector in our editor:

Log in to your account or sign up if you don’t have one.
Add your Patent from your device or cloud storage.
Open your file in the editor and launch its AI assistant.
Click the suitable button to Extract Data from your paperwork.
Verify the AI DocHub robot’s work and apply other essential edits wherever needed.
Make sure you have everything as it should be, and save your document changes.

New technologies give more advanced possibilities for individuals and businesses in various fields, including IT sector. Benefit from AI-driven editing features provided by DocHub and complete your document management tasks effectively and with minimum time. Get started now!

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Got questions?

Below are some common questions from our customers that may provide you with the answer you're looking for. If you can't find an answer to your question, please don't hesitate to reach out to us.

Who has the most AI patents?

As of December 2022, Baidu was the largest owner of active machine learning and artificial intelligence (AI) patent families worldwide with 13,993 active patent families owned. In 2022, the company had claimed the leading position from Tencent now ranked second with 13,187 active patent families owned.

Can an AI invention be patented?

The USPTO and Federal Circuits opinions imply that inventions made by human beings with the assistance of AI are eligible for patent protection. However, there is uncertainty and much debate as to how much AI assistance is too much for patentability.

What are the 4 types of AI explained?

The first two types of AI, reactive machines and limited memory, are types that currently exist. Theory of mind and self-awareness are AI types that will be built in the future. As such, there arent any real world examples yet.

What are the types of AI distinguish between any two types of AI?

There are two main categories of AI: Weak AI: Weak AI is a type of AI that can only perform specific tasks. For example, a weak AI might be able to play chess or translate languages. Strong AI: Strong AI is a type of AI that can perform any task that a human can.

Can you patent AI software?

Artificial Intelligence Inventions Are Patentable Under U.S. Patent Law, Even If Artificial Intelligence Cant Be An Inventor | Crowell Moring LLP.

How to patent artificial intelligence and machine learning models?

AI/ML Patents ing to U.S. patent law, an ML algorithm cannot be patented directly. However, the law does allow a series of steps in an algorithm to be patented. The underlying logic is that algorithm is seen as a series of mathematical steps and procedures under the U.S. patent law.

How do you classify AI?

The classification algorithms used in AI are a mixture of statistical analysis and algebra, arranged in flowcharts and decision trees. Some approaches predate the idea of creating machine intelligence, emerging from a field of statistics, calculus and numerical analysis.

What is identifying artificial intelligence AI invention a novel AI patent dataset?

Identifying artificial intelligence invention: A novel AI patent dataset , published in The Journal of Technology Transfer, describes the machine learning model used to create the dataset. It also provides several examples to link the AIPD to PatentsView to explore AI patenting activity by companies and inventors.

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