Abstract: Due to the random behavior of conductors in machines with random windings, it is difficult to predict and calculate the Alternating Current (AC) copper loss. This paper proposes a practical ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

On November 8, 2025, the Faculty of Education at East China Normal University hosted a grand ceremony to present the second ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

The authors find that contemporary GIS research increasingly integrates spatial statistics, modeling, and simulation to move ...

Microplastics, Microbes, and Water Waves: Nanopore Sequencing and Urban Environmental Sensors for Place-Based Applied Ecological Research Integrating Textual Analytics, Machine Learning, and AI ...

UPF scientists have discovered this 7% of critical areas based on their pioneering analysis model that allows minimizing the ...

With the rising technological prowess and greater openness of Chinese models, the world is increasingly turning to the East for efficient and customizable AI, a new report finds.

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

(Bloomberg/Rachel Metz) — OpenAI is rolling out a new artificial intelligence model designed to make ChatGPT better at coding, science and a wide range of work tasks, weeks after Alphabet Inc.’s ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...