Track Problems That Your Competitors Are Solving using “Explainable AI”
Using World’s largest DATASET of Problems (in Patents), you can identify the landscape of problems along with their solutions. Companies, IP departments, and business entrepreneurs need to be one step in front of their competitors at all times. Many IP/ R&D...
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 Applications A 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...
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...
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...
XLSCOUT-CORPUS is leading the way to Explainable AI in R&D
Abstract For 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...
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