Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Raghab Singh’s research advances structure-first AI models for healthcare, combining molecular geometry and language ...

Metamaterials—materials whose properties are primarily dictated by their internal microstructure, and not their chemical ...

Learn how SolarLab's BIPV systems redefine energy integration in architecture, enhancing aesthetics and efficiency.

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design. In addition, Nature has recently ...

Omni NDE cobots, X-ray end effectors and Voxray’s reconstruction approach enables 5-micron inspection of aerospace parts without size constraints.

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Metamaterials - materials whose properties are primarily dictated by their internal microstructure, and not their chemical makeup - have been ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

Implementaion for WWW2022 paper Geometric Graph Representation Learning via Maximizing Rate Reduction [proceedings] [arxiv]. We provide a Jupyter Notebook to reproduce the orthogonality visualization ...

Official codebase for WWW'25 paper Disentangled Condensation for Large-scale Graphs. The paper can be found here: https://arxiv.org/abs/2401.12231. This codebase is ...

Abstract: We propose GeoGCN, a novel geometric dual-domain graph convolution network for point cloud denoising (PCD). Beyond the traditional wisdom of PCD, to fully exploit the geometric information ...