Applications for Spring 2023 NJBDA Externships open until Dec. 12
Students from NJBDA member institutions are eligible for Rutgers MBS - NJBDA joint externship exchange program.
Students from NJBDA member institutions are eligible for Rutgers MBS - NJBDA joint externship exchange program.
Knowledge Graphs in Natural Language Processing: Overcome Domain Adaptation Challenges in Language Models. Event presented by Vivek Kumar, Marie Sklodowska-Curie Scholar, University of Cagliari, Italy.
Recording now available: Intelligent Informatics Event with Experts from Microsoft’s AI for Good lab: Open Data for Society: Accelerating Solutions for Society’s Most Pressing Challenges, Presentation, Work-along and Q&A.
It is our great pleasure to announce the call for manuscripts for the Journal of Big Data Theory and Practice (JBDTP) special issue - Enabling Technologies in Intelligent Healthcare: From the Internet of Things (IoT), To Artificial Intelligence, Big Data, and Blockchain.
Students from NJBDA member institutions are eligible for Rutgers MBS - NJBDA joint externship exchange program.
The New Jersey Big Data Alliance (NJBDA) has taken an important step in catalyzing research collaborations in big data, artificial intelligence, and machine learning for both researchers and practitioners with the inaugural release of its new journal.
The theme for the 9th Annual Symposium is "Building the Workforce Pipeline for a Data-Driven Economy" and will include keynotes, a panel discussion, and workshops. This year’s symposium will be held in person at the New Jersey Institute of Technology.
New Jersey Big Data Alliance Workshop Series in collaboration with Montclair State University’s New Jersey Policy Think Tank for the Food Industry and Restaurants
Data Visualization with Python Jupyter Notebooks – A Hands-on Introduction. The session will consist of brief presentations, with around 100 minutes of interactive work-along demo of data visualization with Jupyter Notebooks, and end with Q&A.
It is our great pleasure to announce the call for papers for the Journal of Big Data: Theory and Practice (JBDTP). JBDTP is an open access peer-reviewed journal which is devoted to the publication of high-quality papers on the theoretical and practical aspects of big data, AI, applications and machine learning. Authors are invited to submit novel, high quality work that has neither appeared in nor is under consideration for publication elsewhere.