Abstract: Event-based social networks (EBSNs) connect users through shared interests in real-world events. These platforms allow users to discover, join, and interact around events, but their complex ...

Abstract: The quick dissemination of false information on social media has cast questions on the accuracy of internet knowledge. Conventional machine learning techniques constrain their effectiveness ...

Explore the top AI certifications to boost your career and validate your AI skills. Find the best programs in machine ...

Students and professionals looking to upskill are in luck this month of April, as Harvard University is offering 144 free ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

That is the number of major research articles that bear the name of Venkata Vijay Satyanarayana Murthy Neelam-the data-engineering researcher known professionally as Murthy Neelam. It is a number that ...

A research team led by Potsdam-based bioinformatician Prof. Dr. Zoran Nikoloski has developed a computational approach and an accompanying tool that enables the detailed analysis and reconstruction of ...

Due to the significant amount of time and expertise needed for manual segmentation of the brain cortex from magnetic resonance imaging (MRI) data, there is a substantial need for efficient and ...

1 Department of Computer Science, Mountains of the Moon University, Fortportal, Uganda. 2 Department of Computer Science and Informatics, University of Nairobi, Nairobi, Kenya. 3 Department of ...

Melty Molecule is a molecular property prediction system that leverages graph neural networks to predict melting points of chemical compounds. The model uses a hybrid architecture combining Principal ...