One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

The vulnerability was fixed in n8n version 1.111.0, with the addition of a task-runner-based native Python implementation ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

This framework is designed to evaluate the morphology of 3D-printed thermomagnetic heat exchanger components. The 3D extrusion and post heat treatment process may introduce defects that impact heat ...

A new technical paper titled “3D-ICE 4.0: Accurate and efficient thermal modeling for 2.5D/3D heterogeneous chiplet systems” was published by researchers at EPFL and Universidad Complutense de Madrid.

Scientists studying Greenland have uncovered surprising heat variations deep beneath the ice that could reshape experts' understanding of future sea-level rise. The discovery, made using advanced 3D ...

Imagine snapping a photo of your favorite object, a vintage car, a family heirloom, or even your pet, and instantly transforming it into a lifelike 3D model. Thanks to Meta’s SAM 3D, this futuristic ...

If you find this code useful in your research, please cite: @article{cohan2024flexible, title={Flexible Motion In-betweening with Diffusion Models}, author={Cohan, Setareh and Tevet, Guy and Reda, ...

Abstract: LiDAR-based single object tracking plays a key role in intelligent vehicles. Current methods typically follow appearance matching or motion-centric frameworks. However, point clouds are ...