Searchable Patent “Problems” Dataset now available in XLSCOUT
XLSCOUT has launched Patent Problems Search, which is a new way to overcome 101/102 rejections. We have explained the details in this guide. All the human power in an in-house Patent Department OR Prosecution Attorneys can’t seem to overcome 101/102...
How Reliable is AI in Patent Analytics?
A Rise in Patent ApplicationsA recently conducted study found that the average number of patents filed in a year has increased by 1800% since 2012. The speed of innovation has increased by multiple folds, so the researchers and strategists need...
XLSCOUT-CORPUS is leading the way to Explainable AI in R&D
AbstractFor Explainable AI in R&D, XLSCOUT came up with a unique approach. A corpus of technical concepts is created based on more than 3 billion words and 100GB of pre-processed data. This corpus has been developed on a Machine Learning...
Why Explainable AI is the Most Important Aspect in Automation of IP Analysis?
When your job depends upon the explainability and validation of why a result was considered or not considered while evaluating a patent, technology, or article, explainability is one of the most important concerns.There are many databases and analytical tools that...
R&D Performance Improvement Guide
R&D Performance Improvement Guide: The R&D business function is one of the most significant and pivotal departments in an organization, as it allows organizations to keep up with ever-changing technological innovations. Imagine a company without an R&D function.R&D operates in...
Machine Learning in AI-based Analysis Tools is as Important as NLP
Machine Learning in AI-based Analysis Tools is as Important as NLP. When your job depends upon the explainability and validation of why a result was considered or not considered while evaluating a patent, technology, or article, Explainable AI is one...
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