Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

This article explores how AI-augmented laboratories optimize high-throughput experimentation and improve efficiency in ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

WiseCode uses AI-driven data analysis to reveal ingredient and nutrient information, helping you make more informed shopping ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

长江商学院营销学副教授、MBA项目副院长李洋的合作研究《基于互锁超图神经网络的消费者分类收藏行为建模》(Modeling Categorized Consumer Collections with Interlocked Hypergraph Neural Networks) 日前在市场营销国际顶级期刊 Journal of Marketing ...