A new paper develops a structured tool to evaluate the challenges surrounding artificial intelligence's accountability and ...

Microplastics and nanoplastics are difficult to measure in foods, plants, and our bodies, making it challenging to understand ...

High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers ...

In the new round of AI technology competition, Yingzi Network showcased its latest AI smart home product matrix at the 2025 World Intelligent Industry Expo, marking the company's continuous innovation ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

In the 21st century, data flows and sensorimotor experiences converge in what might be called the “infosomatic matrix,” a zone in which daily life is saturated with micro-decisions shaped by ...