Led by Professor Masoud Akbarzadeh, the Penn group has developed Diamanti, a 3D-printed structural system that uses both geometry and material science to turn concrete into ...
Abstract: This article presents an innovative multichannel hybrid 2D–3D-convolutional neural network (MH-2D-3D-CNN) model specifically designed for the challenging task of hyperspectral image ...
Tech. Sgt. Tylar Cravens will pitch his idea for 3D-printed training engine parts to Pentagon leaders during the Air Force ...
Sports video analysis is a key domain in computer vision, enabling detailed spatial understanding through multi-view correspondences. In this work, we introduce SoccerNetv3D and ISSIA-3D, two enhanced ...
Abstract: The success of pre-trained 2D vision models can largely be attributed to their ability to learn from large-scale datasets. However, compared with 2D image datasets, current pre-training data ...
Construction robots have been around for a while, automating challenging tasks on job sites. The new kid on this block is called Charlotte, and it's billed as being autonomously capable of building a ...
MOE Key Laboratory of Low-grade Energy Utilization Technologies and Systems, CQU-NUS Renewable Energy Materials & Devices Joint Laboratory, School of Energy and Power Engineering, Chongqing University ...
Surgeons and doctors often rely on artificial models to practice delicate procedures. Yet most training tissues feel stiff, simple, and far from realistic. That gap between training models and real ...
Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the ...
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