This inventor holds 2 USPTO granted patents. Top assignee: Vianai Systems, Inc.. Active years: 2023-2026.
Company Filing History:
Years Active: 2023-2026
Title: Daniel James Amelang: Innovator in Machine Learning Technologies
Introduction
Daniel James Amelang is a prominent inventor based in San Diego, CA. He has made significant contributions to the field of machine learning, holding 2 patents that showcase his innovative approach to technology. His work focuses on creating user-friendly interfaces and tools for developing machine learning models and neural networks.
Latest Patents
One of Amelang's latest patents is titled "Visually creating and monitoring machine learning models." This invention outlines a technique for generating a user interface that allows users to visually create machine learning models. The process includes modifying source code that defines the model based on user input, ultimately compiling this code to enable the model to learn parameters during its training phase.
Another notable patent is "Techniques for defining and executing program code specifying neural network architectures." This invention presents an artificial intelligence design application that provides tools for generating and analyzing neural networks. The application features a network generator that updates program code based on user interactions, allowing developers to define neural network architectures efficiently.
Career Highlights
Daniel Amelang is currently employed at Vianai Systems, Inc., where he continues to push the boundaries of machine learning technology. His work at Vianai Systems emphasizes the importance of user interaction in the development of AI applications.
Collaborations
Amelang collaborates with notable colleagues, including Vishal Inder Sikka and Kevin Frederick Dunnell. Their combined expertise contributes to the innovative projects at Vianai Systems.
Conclusion
Daniel James Amelang is a key figure in the advancement of machine learning technologies. His patents reflect a commitment to enhancing user experience in AI development. His contributions are shaping the future of machine learning and neural network design.