Dharmawardana, K. G. S., Lokuge, J. N., Dassanayake, P. S. B., Sirisena, M. L., Fernando, M. L., Perera, A. S., & Lokanathan, S. (2017). Predictive Model for the Dengue Incidences in Sri Lanka Using Mobile Network Big Data. Proceedings of the 12th IEEE International Conference on Industrial and Information Systems (ICIIS 2017)
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Unlocking Data for Artificial Intelligence in Sri Lanka: LIRNEasia hosts exclusive forum in Colombo
LIRNEasia hosted a forum on December 7, 2024, titled “Unlocking Data for Artificial Intelligence in Sri Lanka” at the ITC Ratnadipa Hotel, Colombo. The event brought together AI experts, data scientists, policymakers, and industry leaders to explore practical ways to leverage data and artificial intelligence for informed decision-making and meaningful societal and organizational impact.
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?
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