Location History:
- Silver Spring, MA (US) (2014)
- San Jose, CA (US) (2015 - 2020)
Company Filing History:
3 out of 54,719 
1 out of 21 
1 out of 47 Years Active: 2014-2020
Title: Anoop Deoras: Innovator in Neural Network Architectures
Introduction
Anoop Deoras is a prominent inventor based in San Jose, California. He has made significant contributions to the field of technology, particularly in the area of neural network architectures. With a total of six patents to his name, Deoras has demonstrated a commitment to advancing the understanding and application of artificial intelligence.
Latest Patents
One of Anoop Deoras's latest patents focuses on the assignment of semantic labels to a sequence of words using neural network architectures. This technology pertains to slot filling, where a deep neural network, a recurrent neural network, and/or a spatio-temporally deep neural network are configured to assign labels to words in a natural language word sequence. At least one label is a semantic label assigned to at least one word in the sequence. Another notable patent involves using human perception in building language understanding models. This model is trained to account for the perceived relative importance of different tagged items, adjusting the training process by associating a perceived weight with each predicted item. This innovative approach allows for a more nuanced understanding of language processing.
Career Highlights
Throughout his career, Anoop Deoras has worked with several notable companies, including Microsoft Technology Licensing, LLC and Multimodal Technologies, LLC. His work in these organizations has contributed to the development of advanced technologies in the field of artificial intelligence and machine learning.
Collaborations
Anoop Deoras has collaborated with esteemed colleagues such as Ruhi Sarikaya and Fethiye Asli Celikyilmaz. These collaborations have further enriched his work and expanded the impact of his innovations.
Conclusion
Anoop Deoras is a distinguished inventor whose work in neural network architectures and language understanding models has significantly influenced the field of artificial intelligence. His innovative patents and collaborations highlight his dedication to advancing technology and improving human-computer interaction.