Harvey Castro talks about how AI could be used in cold cases and the symbiotic relationship between AI and a detective. A Minnesota man was sentenced to 30 years in prison for raping a woman at gunpoint in Minneapolis 16 years ago. Robert DeLong, 63, will spend the next three decades in prison after he pleaded guilty to assaulting the victim who was jogging on Boom Island in Minneapolis in March 2007. Hennepin County Attorney Mary Moriarty's office told Fox News Digital that 30 years is the "longest possible sentence" for DeLong's crimes. "The victim's courage in the moments after this attack are a significant reason we were able to prosecute this case and hold Mr. DeLong accountable," Moriarty said in a statement.

Have you ever wondered how to demonstrate that one machine learning model's test set performance differs significantly from the test set performance of an alternative model? This post will describe how to use DeLong's test to obtain a p-value for whether one model has a significantly different AUC than another model, where AUC refers to the area under the receiver operating characteristic. This post includes a hand-calculated example to illustrate all the steps in DeLong's test for a small data set. It also includes an example R implementation of DeLong's test to enable efficient calculation on large data sets. An example use case for DeLong's test: Model A predicts heart disease risk with AUC of 0.92, and Model B predicts heart disease risk with AUC of 0.87, and we use DeLong's test to demonstrate that Model A has a significantly different AUC from Model B with p 0.05.

The world is commonly divided into industrialized and emerging economies. A new study of how technology will transform demand for workers suggests we might talk of the automated and automating worlds instead. Economic think tank McKinsey Global Institute forecast changes in demand for different kinds of labor across 45 countries as technologies improve to perform physical or office tasks. One key result: Robots pose a more immediate and disruptive threat to the US middle class than they do to middle-income workers in less developed countries like India. The report warns that in the US technology will crimp demand for many types of work, such as office administration and operating construction equipment.