Beijing Academy of Artificial Intelligence

Cross-scale Data-Driven Heat Flow Prediction in the Ordos Basin and Adjacent Areas: An XGBoost Model with SHAP Interpretability

Summary Terrestrial heat flow is a fundamental parameter characterizing the thermal regime of sedimentary basins, but sparse and unevenly distributed measurements limit regional heat flow mapping. This study integrated cross-scale geological and geophysical features to compare XG...

Understanding digital capabilities and their relationship in digital transformation

Purpose Enterprises face barriers in digital transformation due to an unclear way to build digital capability. However, existing research on digital capability lacks a unified theoretical framework. This study aims to establish a theoretical framework to explain the formation mec...

Identification of phenology-aligned sensitive windows to extreme-rainfall events for maize in north China Plain and actionable irrigation–drainage triggers

Agricultural water-risk assessment requires the identification of exposure windows that accurately capture extreme rainfall during crop-sensitive stages. Using county-level data from the North China Plain from 2001 to 2015, phenology-aligned exposure windows were reconstructed an...

Multi-objective and cross-scale inverse design of temperature-control materials via physics-constrained machine learning

Abstract Temperature-control materials, notably composite phase-change materials (CPCMs), show great potential for the thermal management of next-generation power electronics. However, the synergistic optimization of multiple performance metrics still relies heavily on Edisonian...

Multicenter Privacy‐Preserving Federated Models for Predicting Postoperative Delirium and Acute Kidney Injury in Older Patients

ABSTRACT Postoperative delirium (POD) and acute kidney injury (AKI) are serious complications in older patients undergoing surgery, yet predictive model development is often constrained by single‐center data limitations and privacy concerns that preclude centralized data sharing....

Language-enhanced generative modeling for amyloid PET synthesis from MRI and blood biomarkers.

Assessment of amyloid pathology in Alzheimer's disease (AD) often relies on amyloid-beta positron emission tomography (Aβ-PET), but its clinical use is limited by cost and accessibility. We developed a language-enhanced generative framework to synthesize Aβ-PET images from T1-wei...

Diff-VF: Training-free High-quality Long Video Generation via Diffusion Model

Recently, diffusion models have made great progress in video generation. However, most existing video diffusion models are trained with short videos, and degrade when extrapolated to long videos, struggling to maintain long-range temporal coherence while retaining diverse motions...

Fine-tuning an ECG foundation model to predict coronary CT angiography outcomes

<title>Abstract</title> Coronary artery disease (CAD) remains a major global health burden. Accurate identification of the culprit vessel and assessment of stenosis severity are essential for guiding individualized therapy. Although coronary CT angiography (CCTA) is the first-lin...

Large language models as designers for autonomous research of anisotropic polymer thermocells

Flexible thermoelectric materials face a persistent trade-off between output power and mechanical robustness. Here, we report OmniMat, a large language model-driven framework that designs experimental protocols in a human-in-the-loop workflow without relying on structured task-sp...

Resolving the Mechano‐Electrochemical Dilemma in Structural Batteries via In Situ Entropy Engineering

ABSTRACT Structural batteries (SBs) offer a revolutionary approach to massless energy storage, but suffer from severe capacity degradation and mechanical failure due to coupled electrochemical and mechanical stresses, particularly when employing high‐energy layered cathodes. Here...

A systematic scoping review of transformative potential and contextual challenges of integrating AI and collective intelligence in African higher education

The integration of artificial intelligence (AI) into African higher education is characterized by a critical tension between its transformative potential and profound contextual constraints. This systematic scoping review addresses this disjuncture by synthesizing available evide...

A JSBSim Sensor-Interface Protocol for Selecting Learned Fixed-Wing Flight-Dynamics Surrogates

Autonomous flight planners consume sensor-derived estimated states rather than simulator ground truth. Learned dynamics surrogates are queried over a planning horizon through architecture-native multi-step interfaces, so strong short-horizon accuracy can still yield unreliable lo...