After #COVIDー19 crisis passes, could we have a good faith discussion about the uses and abuses of "modeling" to predict the future? Everything from public health ...

The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...

Models, by definition, are approximations: useful, informative, and inevitably incomplete, because they are the only way to simplify a world too complex to grasp all at once. A new study on nitrous ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

In the Spring of 2012, synthetic biology researchers Denny Luan and Cindy Wu launched an experimental company, which tested a new approach for funding science. Crowdfunding was the name of the game, ...

Chief Data Scientist at Reorg, a global provider of credit intelligence, data and analytics, and Adjunct at UVA’s School of Data Science. Data science models deal with uncertainty. Apart from limited ...