Steven Pinker's new book shows how he's become a contradictory figure Steven Pinker's new book When Everyone Knows That Everyone Knows makes a compelling case for common knowledge. Steven Pinker argues that "cancel culture" is a form of censorship Steven Pinker's new book perfectly encapsulates what a contradictory figure he has become. Much of it is a clear, fascinating explanation of a major psychological phenomenon . But then he starts telling you what he thinks about current affairs. Pinker is a psychologist at Harvard University who has written a string of popular science books. Some, like Words and Rules, are rooted in his own research and are a good read.

Artificial Intelligence (AI) offers acceleration in the treatment of patients as it can estimate and analyze data quickly when symptoms occur, according to an expert. Misdiagnoses experienced during examinations performed in diagnosis stages of diseases will significantly drop with AI, a social media specialist told Anadolu Agency (AA). Deniz Ünay said the process will take place when thousands of similar cases with patient history are analyzed in seconds and physician errors will be minimized. "According to a study conducted in the U.S., some 20% of medical errors occurred during the initial examination due to insufficient time for patient-physician interviews, and these errors caused wrong treatment processes," Ünay said. "Considering an estimated annual figure of around 87,000 cases around the world, the fact that artificial intelligence can estimate and analyze data quickly reveals that it can accelerate treatment processes," the expert opined.

Azure Machine Learning is Microsoft's machine learning studio. It provides a workbench for analysts to perform data analysis including applying predictive analytics and machine learning algorithms. One of the key uses of Machine Learning is finding correlations in data and using the relationships between different indicators to provide predictive power. Here is an example scenario I built in Azure ML. I found a dataset that describes a set of Community Health Status Indicators by county for the United States.