The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

In the pharmaceutical discovery process, understanding a drug’s residence time—the duration a molecule remains bound to its ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Explore expert-backed predictions for top AI cryptocurrencies poised to lead in 2026, including potential 100x surges driven ...

What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Abstract: The application of Machine Learning for predictive analysis in healthcare, particularly for diseases like diabetes, has proven highly beneficial. This study introduces an optimized Light ...

ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...

Nanotechnology and machine learning are transforming energy systems by enhancing engine efficiency and sustainability. The integration of advanced nanomaterials, such as gold nanoparticles (AuNPs), ...

Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...