Typewise and ETH Zurich professor in new collaboration to develop advanced AI text prediction technology

Swiss deep tech firm Typewise has introduced a new collaboration with Professor Ryan Cotterell of ETH Zurich.  
The partnership sees Typewise becoming a member of forces with Professor Cotterell of ETH Zurich’s Department of Computer Science.
The partnership will revolve round AI text prediction technology with specific analysis going into advanced sentence prediction, enterprise customization, grammar help and voice assist. The work is funded by the Swiss Innovation Agency, Innosuisse, and is a part of the ‘Future of Mobile Interaction’ challenge.

Typewise and ETH Zurich professor in new collaboration to develop advanced AI text prediction technology
Janis Berneker, Typewise CTO and Co-founder feedback: “Our collaboration permits us to work with one of many world’s most advanced centres for such a AI which helps us construct a world class product. We are very enthusiastic about this new partnership particularly as our earlier work with ETH led to us creating text prediction AI which outperforms that of Google’s and Apple’s, which we filed a patent for in January 2022. We imagine this newest partnership will generate additional vital developments in this space.”  
Previously, Typewise collaborated with the ETH professorship for pc science of Thomas Hofmann, whose analysis experience consists of machine studying, deep studying, and pure language understanding. The work assisted the event of Typewise’s AI text prediction engine which now powers Typewise’s AI Writing Assistant, their API, and their keyboard app which has been downloaded 2 million occasions and received a CES Innovation Award two years working. The partnership led to two ETH AI researchers – George Roberts PhD, and Luca Campanella – becoming a member of Typewise as full-time workers to lead the corporate’s AI workforce.
Read: Google and Apple-beating text prediction patent filed by Typewise

https://technosports.co.in/2022/04/07/typewise-eth-zurich-text-prediction/

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