Digging through the data to find chart success.

Scientists are blending physics-informed AI with supercomputing to model plasma turbulence more accurately and efficiently. These breakthroughs could improve predictions for fusion reactors, ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

During the Artemis II mission launched Wednesday, NASA will test out a pair of new solar radiation forecasts, developed at University of Michigan Engineering, designed to protect astronauts venturing ...

Deciding whether to administer chemotherapy after surgery is one of the most challenging questions in early-stage breast cancer care. While chemotherapy can reduce the risk of recurrence, most ...

Weighting by Income Probabilities as a Novel Approach to Quantifying Differences in the Burden of Cancer by Income: A Case Study of Colorectal Cancer in Ohio This multicenter (National Lung Screening ...

Sen. Chris Murphy and Rep. Greg Casar introduced the "BETS OFF Act" to regulate prediction markets. It includes a ban on trades on events where insiders have control or knowledge about the outcome.

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Existing models that assess ...

Abstract: This study develops an Artificial Neural Network (ANN)-based prediction model to estimate the total project cost (TPC) of residential dwellings in Quezon City, the largest local government ...

In a video statement released on his X account this morning, CFTC Chairman Mike Selig said that American prediction markets have been hit with an “onslaught of state-led litigation” over the past year ...

The billion-dollar prediction markets industry began like a joke: Three economists walked into a bar. Subscribe to read this story ad-free Get unlimited access to ad-free articles and exclusive ...