Company Filing History:
Years Active: 2020-2025
Title: David Eisenberg: Innovator in Automated Assistant Technology
Introduction
David Eisenberg is a prominent inventor based in New York, NY, known for his contributions to the field of automated assistant technology. With a total of six patents to his name, he has made significant strides in enhancing the capabilities of automated systems to engage in natural conversations.
Latest Patents
One of Eisenberg's latest patents focuses on enabling natural conversations for an automated assistant. This innovation involves processing a stream of audio data using a streaming ASR model to generate ASR output. It further processes this output with an NLU model to create NLU output, which is then used to generate a stream of fulfillment data. The system can determine the next interaction state based on the current state of the NLU output, fulfillment data, and audio-based characteristics of spoken utterances. Another notable patent is for streaming real-time dialog management. This method allows for dialog management in real-time rather than through traditional turn-taking. It includes generating candidate responses to triggering events and updating a list of these responses based on confidence scores.
Career Highlights
Eisenberg's career is marked by his innovative work at Google Inc., where he has been instrumental in developing advanced technologies for automated assistants. His expertise in dialog management and natural language understanding has positioned him as a key player in the tech industry.
Collaborations
Throughout his career, Eisenberg has collaborated with talented individuals such as David Kliger Elson and Benjamin Ross. These collaborations have fostered an environment of creativity and innovation, leading to groundbreaking advancements in automated assistant technology.
Conclusion
David Eisenberg's contributions to the field of automated assistants demonstrate his commitment to innovation and excellence. His work continues to shape the future of technology, making interactions with automated systems more natural and efficient.
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