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.

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...

Abstract: Fault diagnosis in industrial systems using vibration signal data has attracted growing attention due to the complexity of fault classification. While classical machine learning (ML) methods ...

Abstract: In the poultry food industry, eggshell color is recognized as a crucial quality indicator that influences consumer preference and market value. Traditional classification methods, such as ...