A research paper exploring an alternative approach to address the concern of privacy in sharing big data datasets by generating privacy-preserving artificial call detail records (CDRs) in accordance with the desired macro features of the dataset.
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Software failures and public funds: Monumental coding errors explained
In the world of technology, programming errors—whether stemming from minor oversights or fundamental misunderstandings—can have catastrophic consequences. From the tragic failure of spacecraft missions to the collapse of critical infrastructures, history is filled with examples where a simple bug or miscalculation triggered massive disasters.
How will AI shape the upcoming presidential election in Sri Lanka?
How will AI shape our upcoming presidential election? Can AI-generated fake audio mislead voters?
LIRNEasia Junior Researcher Chanuka Algama shares cutting-edge research on Conversational RAG at ICIIT Conclave 2024
The Annual International Conference on Innovations in Infobusiness & Technology (ICIIT), organised by the Informatics Institute of Technology, took place on May 30-31, 2024, rebranded as ICIIT Conclave 2024. The theme of the conclave was “Large Language Models and Generative AI.
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