Company Filing History:
Years Active: 2017-2019
Title: George Jay Tucker: Innovator in Neural Networks and Audio Recognition
Introduction
George Jay Tucker is a notable inventor based in Cambridge, MA (US). He has made significant contributions to the fields of artificial intelligence and audio recognition. With a total of 2 patents, Tucker's work focuses on enhancing the efficiency and functionality of neural networks and voice-activated systems.
Latest Patents
Tucker's latest patents include innovative technologies that address key challenges in artificial intelligence. One of his patents, titled "Neural network model compaction using selective unit removal," describes a method for generating a compact artificial neural network by selectively removing individual nodes. This process involves deactivating nodes randomly or selectively during training, allowing for the generation of an activation probability that informs which nodes can be removed without compromising performance.
Another significant patent is focused on "Methods and devices for ignoring similar audio being received by a system." This invention outlines systems and methods for detecting similar audio from multiple voice-activated devices and effectively ignoring those commands. The technology captures audio following a wakeword and generates a sound profile for comparison with previously stored profiles, enhancing the accuracy of voice recognition systems.
Career Highlights
George Jay Tucker is currently employed at Amazon Technologies, Inc., where he continues to develop cutting-edge technologies. His work at Amazon reflects a commitment to advancing the capabilities of artificial intelligence and improving user experiences with voice-activated devices.
Collaborations
Tucker has collaborated with talented individuals such as Alexander David Rosen and Michael James Rodehorst. These partnerships have contributed to the innovative projects he has undertaken, showcasing the importance of teamwork in the field of technology.
Conclusion
George Jay Tucker is a prominent inventor whose work in neural networks and audio recognition has the potential to transform the way we interact with technology. His patents reflect a deep understanding of artificial intelligence and a commitment to innovation.