(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 ...

Hassabis, a neuroscientist recognized for his groundbreaking work on AI-driven protein folding models, pointed to the growing need for individuals to master the process of learning itself.

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

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

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

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 ...

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

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 ...

(Image credit: Art by Benji Paysnoe) Researchers have discovered the remains of an ancient shark deep inside the world's longest cave system. The newly discovered shark, plucked from the walls of ...

Electric Vehicle (EV) cost prediction involves analyzing complex, high-dimensional data that often contains noise, multicollinearity, and irrelevant features. Traditional regression models struggle to ...