We summarize the state of progress in artificial intelligence as used for classifying misinforma- tion, or ’fake news’. Making a case for AI in an assistive capacity for factchecking, we briefly examine the history of the field, divide current work into ’classical machine learning’ and ’deep learning’, and for both, examine the work that has led to certain algorithms becoming the de facto standards for this type of text classification task.
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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