Daniel Bolanos

Title: The Innovative Contributions of Daniel Bolanos

Introduction

Daniel Bolanos is a notable inventor based in Mohegan Lake, NY (US). He has made significant contributions to the field of technology, particularly in neural networks and speech recognition. With a total of 3 patents to his name, Bolanos continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Multiplicative integration in neural network transducer models for end-to-end speech recognition." This invention involves using an encoder neural network model to compute an encoder vector that represents a current portion of input data. It also utilizes a prediction neural network model to predict a prediction vector based on previous data. The joint neural network model then computes a joint vector that combines elements from both the encoder and prediction vectors. This joint vector is converted into a probability distribution using a softmax function, which helps in determining the likelihood of a current output symbol corresponding to the input data.

Another significant patent is "Speech-to-text auto-scaling for live use cases." This invention provides a method for auto-scaling computational resources for speech-to-text applications. It includes computing deltas for each word in a transcript and submitting these to metrics servers. The system determines if the current values exceed a predefined max-latency threshold and adjusts computational resources accordingly. This innovation enhances the efficiency of live speech-to-text services.

Career Highlights

Daniel Bolanos is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in neural networks and speech recognition technologies. His work at IBM has allowed him to contribute to cutting-edge projects that have a significant impact on the industry.

Collaborations

Throughout his career, Bolanos has collaborated with talented individuals such as Susan L Diamond and Santosh S Borse. These collaborations have fostered an environment of innovation and creativity, leading to the development of groundbreaking technologies.

Conclusion

Daniel Bolanos is a remarkable inventor whose work in neural networks and speech recognition continues to shape the future of technology. His patents reflect a deep understanding of complex systems and a commitment to innovation. Bolanos's contributions are invaluable to the field, and his ongoing work promises to yield even more advancements in the years to come.