AbstractDrawing from our collective experience, we believe a wide array of opportunities for implementing energy optimization exist within OpenShift. However, we’ve learned that the most effective approach begins with a meticulous quantification of a system’s...
This research project involves Master’s students in Analytics and Machine Intelligence at Northeastern University, Boston, MA This project aims to improve the accuracy of a text-to-SQL chatbot’s human-to-text querying using the OpenAI platform and GPT LLM...
In today’s data-driven world, our personal data is frequently shared with enterprises and cloud service providers. Unfortunately, data processing in the cloud is not 100% secure and private. In the year 2022, approximately 4,100 data breaches were publicly reported,...
The exciting frontiers opened by the development of quantum computers (QC) come at the cost of breaking the foundations of current digital security. The research community is working to the definition of post-quantum cryptography (PQC) to counteract this threat....
AIDA aims to enable novel trustworthy data-driven real-time industrial IoT applications by building a holistic AI-driven Networking and Processing framework. Indeed, ongoing efforts in digitalization are leveraging the development of Internet connected smart...
