Project Team
Students
Vitesh Sharma
Computer Science
Penn State Behrend
Faculty Mentors
Dr. Pulin Agrawal
Penn State Behrend
Computer Science
Project
Project Video
Project Abstract
The advent of Artificial Intelligence (AI) has transformed decision – making and problem solving across various fields by making it easier to analyze and process vast amounts of data at rapid speeds. Within this environment, intelligent agents powered by these organized, sophisticated algorithms capable of automating complex tasks without human intervention have proven to improve performance over time.
This project, titled “Predictive Insights: An Intelligent Agent Using Hierarchical Temporal Memory (HTM) Technology,” aim is to develop a high frequency trading bot leveraging HTM, a cortical algorithm – great at predicting and anomaly detection.
HTM takes inspiration from the neocortex, a region presented in our brain – which makes all the important decisions for us. HTM follows a hierarchical structure where each layer processes information at a different level of abstraction. HTM uses sparse distributed representations to encode data, making it efficient and robust. Combined with reinforcement learning, HTM’s potential gets boosted, offering a better and more intelligent system.
The primary goal of this project is to leverage the hierarchal structure capabilities of HTM and use it to make our system learn complex patterns from our dataset. This project revolutionizes decision-making and offers continuous learning, thus making our system work in all practical applications.
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