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What is Social data science?

Social data science is an interdisciplinary field that applies data analysis techniques to study human behavior, social networks, and digital interactions. It is widely used in political analysis, marketing strategies, and social media research.

Efficiently updatable neural network
An efficiently updatable neural network is a machine learning model designed to adapt and learn new data without full retraining. This capability enhances AI applications in areas such as fraud detection, recommendation systems, and real-time analytics by improving efficiency and reducing computational costs.
BLOOM (language model)
BLOOM is a large-scale, open-access language model developed to generate human-like text across multiple languages. It is trained using deep learning techniques and serves as a benchmark for ethical and inclusive AI development.
External Data Representation
External Data Representation (XDR) is a standard for encoding and decoding structured data to enable interoperability between different computing systems. It ensures data consistency across platforms by converting data into a platform-independent format. XDR is commonly used in distributed computing and network protocols to facilitate seamless data exchange between heterogeneous systems.