Measuring the accuracy of AI and Machine Learning for classifying patents – what’s the Gold Standard?

We hosted a webinar in collaboration with Patinformatics LLC around how we can test ML (machine learning) for its accuracy in classifying patents. The webinar stemmed from an article published by Cipher in World Patent Information titled, Construction and Evaluation of Gold Standards. It aims to provide an objective and reliable way for both developers and users of patent classification software to better understand and test the accuracy of automated patent technology mapping. We were joined by the Managing Director at Patinformatics LLC, Tony Trippe, and our very own CTO, Steve Harris, who spoke about the Gold Standard for measuring the accuracy of machine learning and AI.

The webinar Measuring the accuracy of Machine Learning and AI for classifying patents? covered:

• How a Gold Standard helps test the accuracy of machine learning
• The approach to building a Gold Standard that can be trusted
• Testing Cipher against the Gold Standard

To listen to the recording of the webinar and to get a copy of the slides used, fill out the form below.

Your speakers

Steve Harris, CTO, Cipher

Tony Trippe, Managing Director, Patinformatics LLC

Moderator

Nigel Swycher, CEO, Cipher

Find out how Cipher uses Machine Learning to classify patents