These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Prediction markets have gone mainstream. Now the mechanics that powered $44 billion in volume are spreading to stock picks, ...

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

Well, sort of. Machine learning, an older form of AI, has long been used in all sorts of scientific research. One branch, ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

This is a guest post by Tim Allen, principal engineer at Wharton Research Data Services at the University of Pennsylvania, a member of the Readers Council and an organizer of the Philadelphia Python ...

Perplexity CEO Aravind Srinivas says the biggest threat to data centers is intelligence that runs locally on your device If ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Ever since the NFL invaded Christmas Day six seasons ago, football gamblers of all sorts have had to balance holiday commitments with our pigskin priorities. It’s almost an Xmas tradition at this ...

Abstract: Predicting student performance accurately is essential for personalizing education, allocating resources, and helping at-risk students. This study explores application of Machine Learning ...

The Charleston residential real estate market resembles a python that’s eaten a pig, says Michael Scarafile, CEO of Carolina One Real Estate. That python will take time to digest its immense meal, ...