This inventor holds 1 USPTO granted patent. Top assignee: Nvidia Corporation. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations of Benedict Anose in Stream Data Management
Introduction
Benedict Anose is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of data management through his innovative patent. His work focuses on enhancing the efficiency of resource allocation in multi-sensor systems.
Latest Patents
Benedict Anose holds a patent titled "State-based stream distribution and routing for intelligent resource allocation in multi-sensor systems and applications." This patent addresses the distribution and processing of stream data in a networked computing environment. The approaches presented involve identifying a set of streaming data sources for a given cluster of nodes. The data from these sources can be tracked, managed, and routed to various microservices. Stream distribution and routing (SDR) agents are utilized to manage a routing table that includes identifiers for each data source. These agents distribute information about the sensors to individual microservices, which determine the relevance of data streams and initiate processes using the relevant data. The outputs from these microservices are also assigned identifiers, allowing for efficient routing of outputs toward their respective microservices.
Career Highlights
Benedict Anose is currently employed at Nvidia Corporation, where he continues to innovate in the field of data management. His work at Nvidia has allowed him to collaborate with leading experts in technology and contribute to cutting-edge advancements in the industry.
Collaborations
Benedict has worked alongside Roopa Prabhu, further enhancing the collaborative efforts within his team at Nvidia Corporation.
Conclusion
Benedict Anose's contributions to stream data management through his patent demonstrate his innovative spirit and commitment to advancing technology. His work not only improves resource allocation in multi-sensor systems but also sets a foundation for future developments in the field.
