Latest from IPRally
Explore insights, trends, and innovations in patents, AI, and R&D from the experts at IPRally.
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Global patent coverage at your fingertips
Upon updating our database with millions of new documents, we expanded the filtering options with the new data sources so that you find faster the patent literature you are looking for. The database covers by now (May 2020) 75 million patents and patent applications.
Press release: The PRH and IPRally collaborate on the application of AI in patent examination
Artificial intelligence (AI) opens up new opportunities to examine the patentability of inventions. The combination of AI and specialist work increases efficiency also in a telecommuting environment.
Understanding IPR professionals’ needs better
While working from home, our new UX designer Maggie connects with our customers and seeks to understand them better.
Google Cloud Pub/Sub with Clojure
Google Cloud Pub/Sub is simple to use from Python, but what about Clojure? There is no official support and the Java interop is not straightforward. There are few libraries but none is active. We ended up building our internal mini-library jonotin, and today we have published the code.
Recent improvements to the Adam optimizer
Researchers have improved the widely used deep learning optimizer Adam, decreasing the time needed for training models and improving model generalization. We made a small contribution of our own by open sourcing our PyTorch implementation of QHAdamW.
The explainable patent search
The story of our first steps towards explainable patent search. In the end of the post you get to test our unique approach, which is one of the first few serious attempts to provide real world value from explainable NLP deep learning models.