Chatterbox Labs are pleased to announce that we have successfully been awarded another patent by the United States Patent and Trademark Office in the area of Artificial Intelligence.
Inline with our strong Research & Development strategy the patent ‘Customizable Method of Data Filtering‘, focuses in the area of hierarchical classification. Developed by our team of PhD educated scientists, the patent details how Machine Learning classifiers are chained sequentially across a hierarchy, allowing for customizable filtering. This method can be applied to various unstructured data types such as text data, speech data, linguistic data or any form of data for which the machine learning classifiers may be trained.
We anticipate further R&D breakthroughs. Chatterbox Labs has already filed a patent in the area of Synthetic Data using Reinforcement Learning (USPTO Application No: 16000311) and we expect new patent filings in the area of Explainable AI to continually distinguish ourselves from the competition.
If you would like to find out more about Chatterbox Labs, please see the following introductory video or get in touch.