Latest Work

The aim of this project is to collect and organize data from different sources of job listings. It then conducts a descriptive analysis of the data and identifies the most frequent skills demanded by employers.

FeReD is a system that contrasts the performance of cross-device federation using Q-learning. It offers step-by-step guidance for in-DBMS SQLite implementation challenges for both horizontal and vertical data partitioning. FeReD also allows to contrast the Q-learning implementations in SQLite vs a standard Python implementation.

This Acumen example demonstrates how utilizing machine learning can be used to enhance Cyber-physical systems to achieve intelligent behavior. Creating autonomous agents and utilizing a state-action-reward-state approach, they are capable of learning how to optimize their behavior and react to an unknown environment.

Here you can find a variety of AI techniques and approaches that are designed for different purposes and applications.