Pacific, and her fellow researchers explore the influence of Big Data Analytics (BDA) in shaping strategic decision-making.

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 ...

Researchers used smartphone tracking to study how people listen to music in the real world. They found that natural listening habits, especially the lyrics of chosen songs, provide evidence of a ...

From a government perspective, there is an India AI mission, there is digital public infrastructure to focus on. From a ...

Pinpointing the minimum and maximum transient noise bandwidth for a transient noise simulation is a non-trivial task. But these algorithms can help ease the challenge and ...

It opened the doors of higher education to millions, produced world-changing research, and became a model that countries ...

For decades, enterprises relied on historical sales figures and quarterly reports to guide their future strategies. While looking backward provides a baseline, ...

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

Researchers at Fondazione Policlinico Universitario Agostino Gemelli IRCCS have developed a promising machine learning algorithm capable of predicting survival and cause of death for patients with ...

As agentic AI reshapes hierarchies, a new role — the Chief Workforce Architect — may be the only thing standing between AI ROI and operational gridlock.

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...