Patent Landscape: Why Data Clustering is Important?

Why is data clustering important? Data clustering is vital to make sense of a large set of patent data. It also helps in discovering new businesses and understanding the competition in those business areas. Whether you’re trying to find the...

Patent Landscape: Importance of Having Access to Standardized Data

High-quality clean and standardized data is a prerequisite for a reliable patent landscape analysis. If the data is inaccurate, then the result of the analysis of that data is also going to be inaccurate or unreliable. This inaccurate analysis could...

What is a Patent Portfolio and Why Do You Need One?

Patent Portfolio Analysis  Prosecuting, sustaining, and litigating a single patent as a separate entity will not provide a company or individual with a greater revenue or competitive advantage than maintaining a collection of patents and deciding on different research and...

Competitor Benchmarking: Importance, Types & Advantages

What Is Competitor Benchmarking?  Competitor benchmarking is a technique for obtaining a metric – a benchmark. Benchmarks are simply the “what,” and benchmarking is the “how.” Benchmarking is a technique for maintaining an edge by recognizing where one stands.   It...

AI can generate a Prior Art Search Report in 5 mins

XLSCOUT put the use of reinforcement learning to its AI-based Novelty Checker tool to get quality prior-art search reports in just 10 minutes.

How is Reinforcement Learning changing the Prior Art Searching?

Machine Learning is now being used in most search platforms, including many patent searching tools. One subset of ML (Machine Learning) that has recently gained traction is ‘Reinforcement Learning.’ The basic idea of reinforcement learning is quite simple, use feedback...

   

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