A data-driven approach can retire the endless, unproductive battles over race- and class-based affirmative action.

For centuries, human thinking has been understood through the lens of logic and reason. Traditionally, people have been seen ...

Contributor Content Finance professionals are increasingly using algorithmic trading tools to predict market behavior and suggest optimal investment decisions. However, while most of these models are ...

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify ...

This marks another important step in Elon Musk’s ambitious initiative to integrate intelligent robots, human-sized and human-looking, as an integral part of the future workforce. The tweet ...

The neural network adapts as different conditions are encountered, allowing the squid to make decisions and strengthen its algorithms. [ViciousSquid] is using a Hebbian learning algorithm which ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...

A new study has used machine learning to identify the key predictors of physical activity adherence, analyzing data from nearly 12,000 individuals. The research found that time spent sitting, gender, ...