Daniel Elenius is a notable inventor based in Redwood City, CA. He has made significant contributions to the field of technology, particularly in machine learning and data access control systems. With a total of 3 patents to his name, Elenius continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is focused on "Machine learning for translation to structured computer readable representation." This patent describes techniques for machine learning that facilitate the translation of natural language into a structured format that computers can understand. The method involves generating a training set for a natural language translation model by utilizing grammar rules and random biases to create natural language samples.

Another significant patent is the "Data access control system with a declarative policy framework." This invention outlines techniques for implementing a policy engine that applies a declarative policy framework. This framework allows for the representation and reasoning of complex privacy policies, enabling users to specify expressive policies without needing to understand the technical details of the underlying systems.

Career Highlights

Daniel Elenius is currently employed at SRI International, where he applies his expertise in machine learning and data access control. His work at SRI International has positioned him as a key player in the development of innovative technologies that address contemporary challenges in data management and privacy.

Collaborations

Throughout his career, Elenius has collaborated with talented individuals such as Hung H Bui and Steven Mark Eker. These collaborations have fostered an environment of creativity and innovation, leading to the development of impactful technologies.

Conclusion

Daniel Elenius exemplifies the spirit of innovation through his contributions to machine learning and data access control systems. His patents reflect a commitment to advancing technology and addressing complex challenges in the digital age.