This inventor holds 2 USPTO granted patents. Top assignee: Adobe, Inc.. Active years: 2022-2023.
Company Filing History:
Years Active: 2022-2023
Title: Archiki Prasad: Innovator in Key-Value Memory Networks
Introduction
Archiki Prasad is a notable inventor based in Mumbai, India. He has made significant contributions to the field of technology, particularly in the area of predictive analytics through his innovative patents. With a total of 2 patents, Prasad is recognized for his work in developing advanced systems that enhance data processing and prediction capabilities.
Latest Patents
Prasad's latest patents focus on the implementation of key-value memory networks for predicting time-series metrics of target entities. One of his inventions involves a system that utilizes a key matrix with key vectors learned from training static feature data and time-series feature data. This system includes a value matrix with value vectors representing time-series trends, and an input layer that receives concatenated input data for a target entity. The key-value memory network also features an entity-embedding layer to generate an input vector, a key-addressing layer to create a weight vector indicating similarities, a value-reading layer to compute a context vector, and an output layer that generates predicted time-series data by applying a continuous activation function.
Another patent by Prasad involves using key-value memory networks to predict time-series data. This system retrieves static feature data and target time-series feature data for a target entity, normalizes the target time-series feature data, and generates input data by concatenating the static feature data with the normalized time-series feature data. The predicted time-series data for the target metric is generated by applying a key-value memory network to the input data.
Career Highlights
Archiki Prasad is currently employed at Adobe, Inc., where he continues to innovate and develop cutting-edge technologies. His work at Adobe has allowed him to collaborate with other talented professionals in the field.
Collaborations
Some of his notable coworkers include Ayush Chauhan and Shiv Kumar Saini, who contribute to the dynamic environment of innovation at Adobe.
Conclusion
Archiki Prasad is a distinguished inventor whose work in key-value memory networks has the potential to revolutionize predictive analytics. His contributions to the field are significant, and his ongoing work at Adobe, Inc. continues to push the boundaries of technology.