New Technologies on Peer To Patent
With just over a month into the third pilot program, Peer To Patent is moving into technologies outside of computer software and business methods. A major aspect of this third iteration of Peer To Patent is to test its efficacy in various fields. For the first time, Voice/Speech Recognition and Organic Compounds patent applications have been added to the Peer To Patent application list. This is our opportunity to improve patent quality in a multitude of technologies! Please take this chance to participate by tagging these applications, contributing to discussions, submitting prior art, or even sharing research tips.
Class 704- Data Processing
Transcription, archiving and threading of voice communications (Microsoft)
Maximum entropy model with continuous features (Microsoft)
Feature compensation approach to robust speech recognition (Microsoft)
Adaptive pattern learning for bilingual data mining (Microsoft)
Class 544- Organic Compounds
Method of preparing cyclic carbonates, cyclic carbamates, cyclic ureas, cyclic thiocarbonates, cyclic thiocarbamates and cyclic dithiocarbonates (IBM)
We thank you for all of your support!
Your Peer To Patent Team
www.peertopatent.org
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