In the world around us, many things exist in the context of time: a bird's path through the sky is understood as different positions over a period of time, and conversations as a series of words ...

Xi Zhu studies PTSD, depression, OCD and brain development to uncover markers that could lead to more precise care ...

A decade of progress in machine learning is redefining how low-cost air quality sensors deliver reliable data for public health and environmental policy, according to a new review published in ...

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...

Artificial intelligence (AI) has been making great strides in generating and translating human language. Large language models (LLMs) have quickly moved beyond simply dealing with human speech to ...

AI-assisted web scraping is the use of traditional scraping methods alongside machine learning models to detect patterns, extract data and handle dynamic pages with less manual rule-writing. According ...

Marketing decisioning has shifted from rules to AI — fueled by data warehouses and advanced models like reinforcement learning. The post Bandits have taken over marketing decisioning, and that’s a ...

Most manufacturing AI pilots stall due to fragmented data and IT/OT disconnects. Here's how to build scalable automation systems. Enabling direct system coordination without centralized bottlenecks ...

Business intelligence and analytics tools are no longer optional to deliver real-time insights and support agile business decisions.

A wearable device combined with machine learning may offer a solution for continuous cough monitoring in pulmonary fibrosis patients. A wearable cough monitor generated clinically useful cough data, ...

For decades, quantum computing has felt like something out of science fiction — abstract, theoretical, and always “10 years away.” But in 2025, the story has changed. Quantum technology is no longer ...