To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

My first attempt at quantum coding wasn’t nearly as painful as I’d feared—and it’s probably something you could do too.

online outcome generators, fair selection tools, random selection software, transparency tools, bias reduction, digital ...

Brazilian researchers have developed a methodology that uses remote sensing to map the impact of frost on corn crops. This reduces exposure to climate risks and uncertainty regarding agricultural ...

A growing procession of tech industry leaders, including Elon Musk and Tim Coo,k are warning about a global crisis in the making: A shortage of memory chips is beginning to hammer profits, derail ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Discover how provably fair technology is transforming trust in online digital platforms in 2026. Learn how cryptographic ...

In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...

Brex reports strategies to boost approval chances for business credit cards, emphasizing strong credit profiles, financial ...

A shortage of memory chips is beginning to hammer profits, derail corporate plans and inflate price tags on everything from ...