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...
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...
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...
Use of AI in Research and Development
Research and Development (R&D) is the growth engine for any business and has the onus of identifying new technologies, customizing them as per the business domain, and building a strategy around them that can be translated into technology or a...
Natural Language Processing Driven Categorization
AI-driven Patent Categories – Use of explainable AI for Innovation / Ideation Patent and publication data is crucial for R&D teams. It gives tremendous insights on the market front, competitor trends and innovation, technology trends, and others. However, patent data...
What is Explainable AI?
Explainable Artificial Intelligence/ Explainable AI is key for any successful implementation at scale. Here are some of the aspects: Explanation of Explainable AI Systems provide the evidence or reason(s) for all outputs. Meaningful Systems provide explanations that are understandable to...
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