Every prediction of the future carries some level of uncertainty; making this explicit is challenging. We should never forget the importance of accompanying any statement
SUMMARY By carefully checking the assumptions of our modelling approach and the structure of our data, we can pick a better modelling approach that might
The purpose of this project is to define and develop an effective and capable monitoring system that can count trucks, estimate their load and measure the daily quantity of waste that goes to landfill and summarize the materials that get recycled.
Decatab, together with Simile, built an AI Platform to improve the accuracy of early warning system alerts to Timor-Leste communities. As a result, target communities will be able to better prepare for and respond to the impacts of climate-induced natural disasters
How Artificial Intelligence can be used to analyse Qualitative Data for Impact Evaluation
