Nils Lenke

Nils Lenke

Senior Director, Corporate Research, Nuance Communications
Nils Lenke oversees the coordination of various research initiatives within Nuance's global 300 strong corporate research organization. The team is responsible for developing a broad range of cognitive computing technologies, and applying these to solutions for the mobile, automotive, healthcare, and enterprise markets.  The core technologies within the corporate research  team's purview span deep learning, speech recognition, speech synthesis, natural language understanding and generation, dialog, planning, reasoning, and knowledge representation. The applications of these AI technologies include collaborative virtual assistants that enable more human-like interactions to enhance automation and productivity, as well as systems which extract knowledge and make predictions from data streams. Nils also organizes Nuance's internal research conferences, coordinates Nuance's ties to Academia and is board member of the DFKI (German Research Institute for Artificial Intelligence), the World's largest AI center, where Nuance is a shareholder.  Nils joined Nuance (formerly ScanSoft) in 2003, after holding various roles for Philips Speech Processing for nearly a decade. Nils holds an M.A. from the University of Bonn after writing his thesis on “the Communication model in AI Research” in 1989, a Diploma in Computer Science from the University of Koblenz, a Ph.D. in Computational Linguistics from the University of Duisburg based on his AI-centric dissertation on Natural Language Generation of Paraphrases (1995), and finally an M.Sc. in Environmental Sciences from the University of Hagen. Nils has been awarded 8 patents for inventions ranging from a “speech recognition system for numerical characters” to “passive acquisition of knowledge in speech recognition and natural language understanding”. Nils can speak six languages; including his mother tongue German, and a little Russian and Mandarin. In his spare time, Nils enjoys hiking and hunting in archives for documents that shed some light on the history of science in the early modern period.  
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