A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a novel deep learning framework that significantly improves the ...

Conventional time series models are restricted to narrow historical data patterns, missing out on product metadata, ...

Research in the International Journal of Data Mining and Bioinformatics discusses a new approach to demand forecasting for the pharmaceutical retail sector based on an artificial intelligence model.

Atlas Guo is a cartographer and Ph.D. student. We met with him to learn more about mapping natural disasters and what goes into making a well-designed map.

Munich news, health insurance, technology, jobs and other topics for expatriates. The Eye Newspapers covers daily news and offers services for foreigners.

Intelligence as measured by IQ tests is the single most effective predictor known of individual performance at school and on ...

Students gave their consent that their stories could be used for research purposes and might be published. Out of a class of ...

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

This is a valuable study on how past sensory experiences shape perception across multiple time scales. Using a behavioural task and reanalysed EEG data, the authors identify two unifying mechanisms ...

A time series is a sequence of measurements performed at successive points in time. Time series can be used to derive models to predict future values based on previously observed values. Bao and ...

Podcast: This guest's research uncovers a surprising illusion: Repeated experiences, which are more vividly remembered, are ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...