Company Filing History:
7 out of 131,906 
7 out of 39 
Years Active: 2018-2024
Title: **The Innovative Mind of Daniel Neil**
Introduction: Daniel Neil, an accomplished inventor based in Zurich, Switzerland, has made significant contributions to the field of technology, holding a total of seven patents. His work primarily focuses on advancements in neural networks and sensor technologies, showcasing his expertise in artificial intelligence and machine learning.
Latest Patents: Among his notable inventions is the **Sensor Transformation Attention Network (STAN) Model**. This model encompasses sensors designed to gather input signals, integrated with attention modules that calculate attention scores for feature vectors related to these signals. It also features a merge module that computes attention values from the scores and generates a merged transformation vector based on these values, facilitating task-specific classification. Additionally, he developed a **Method for Recurrent Neural Network Parameter Calculations** which leverages sparsity for optimization. This involves an artificial neuron that evaluates activation changes based on input signals and transmits corresponding output signals based on event occurrences.
Career Highlights: Daniel's professional journey includes significant tenures at leading companies, including Samsung Electronics Co., Ltd. and Universitaet Zuerich. His work in these prestigious organizations has allowed him to push the boundaries of innovation and apply his research in practical applications, further solidifying his reputation as a pioneering inventor.
Collaborations: Throughout his career, Daniel has collaborated with esteemed professionals such as Shih-Chii Liu and Jun Haeng Lee. These collaborations have facilitated the exchange of ideas and knowledge, fostering an environment conducive to groundbreaking research and development.
Conclusion: Daniel Neil's inventive spirit and continuous pursuit of knowledge have led to significant advancements in the realm of artificial intelligence and sensor technologies. With seven patents to his name, his contributions are not only valuable in academia but also in the industrial sector, paving the way for future innovations in technology.