Beijing Academy of Artificial Intelligence

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...