Data shows that over 60% of drivers exhibit irregular behaviors while driving, such as sudden acceleration and frequent lane changes. These behaviors not only affect driving safety but may also ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

At the industry level, the research suggests that AI-enabled decision support could help firms quantify trade-offs more transparently. Executives no longer need to speculate whether emissions ...

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...

AI cheats not because it’s broken, but because it has learned our own bad habit: rewarding what feels good over what is true.

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

For more than eighty years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup ...

A new comprehensive review explores how artificial neural networks (ANNs) and deep learning techniques are transforming biodiesel production. These tools enhance feedstock selection, optimize yields, ...