New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

Systems microbiology now generates data at unprecedented scale across microbial community composition and function, host biology, and environmental ...

A new academic analysis argues that Africa’s unique social realities demand a locally grounded framework for responsible AI ...

Artificial intelligence is often explained through algorithms, hardware breakthroughs, and the rapid rise of powerful models. What is frequently missing from that narrative is the human story behind ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. This voice experience is generated by AI. Learn more. This voice ...

Data has become central to modern HR decision-making—from hiring and pay to promotions and separations. A data-driven approach reduces reliance on gut instinct, helps reveal meaningful patterns, and ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

AI promises a smarter, faster, more efficient future, but beneath that optimism lies a quiet problem that’s getting worse: the data itself. We talk a lot about algorithms, but not enough about the ...

In a world run by computers, there is one algorithm that stands above all the rest. It powers search engines, encrypts your data, guides rockets, runs simulations, and makes the modern digital ...