Typewise and ETH Zurich Professor Join Forces in New Collaboration
Grace Mahas — April 7, 2022 — Tech
References: typewise.app
Typewise, a Swiss deep tech company, recently announced a new partnership with Professor Ryan Cotterell of ETH Zurich. The new collaboration will focus on AI text prediction technology with a specialization in advanced sentence prediction, grammar assistance, enterprise customization, and voice support. Swiss innovation agency Innosuisse funded the work and is part of the 'Future of Mobile Interaction' project.
Janis Berneker, Typewise CTO and Co-founder, comments: “Our collaboration allows us to work with one of the world’s most advanced centers for this type of AI which is helping us build a world-class product. We are very excited about this new partnership especially as our previous 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 believe this latest partnership will generate further significant advancements in this area.”
Image Credit: Typewise
Janis Berneker, Typewise CTO and Co-founder, comments: “Our collaboration allows us to work with one of the world’s most advanced centers for this type of AI which is helping us build a world-class product. We are very excited about this new partnership especially as our previous 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 believe this latest partnership will generate further significant advancements in this area.”
Image Credit: Typewise
Trend Themes
1. AI Text Prediction - The development of AI text prediction technology has significant disruptive innovation opportunities for chatbots, virtual assistants, and customer service automation.
2. Advanced Sentence Prediction - Improving the accuracy of advanced sentence prediction can create new opportunities in online content creation, language-learning software, and personalized messaging.
3. Voice Support - Voice support integration for AI text prediction technology has potential for innovation in speech recognition software, smart home devices, and virtual event platforms.
Industry Implications
1. Deep Tech - Deep tech firms can benefit from the advances made in AI text prediction technology to build better chatbots, virtual assistants, and voice-enabled software.
2. Language Technology - Language technology industry can leverage advanced sentence prediction technology to create new language-learning software and improve multilingual chatbots and customer service automation.
3. Mobile Interaction - The mobile interaction industry can use AI text prediction technology to develop new features for messaging apps, augmented reality applications, and other mobile technologies.
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