Federal regulators across multiple agencies are warning consumers that artificial intelligence tools marketed for personal finance carry serious risks, from outright fraud to misleading claims about ...

Traders are showing signs of increased speculative appetite for Ethereum, but what do machine learning algorithms think about its momentum?

Attorneys at Haynes Boone survey recent litigation, agency activity, and legislative trends shaping antitrust risk for users ...

Machine learning algorithm predicts Bitcoin price for April 1, 2026, as the asset navigates volatility amid geopolitical uncertainty.

An analysis spanning fifty years reveals that the cost of gasoline is one of the strongest predictors of presidential approval ratings, acting in an uneven pattern where initial price spikes cause the ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Walmart's AI pricing patents enable instant price changes through digital shelf tags, raising concerns about algorithmic grocery pricing despite company promises.

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

While the world's leading artificial intelligence companies race to build ever-larger models, betting billions that scale alone will unlock artificial general intelligence, a researcher at one of the ...