This paper proposes a feed-forward 3D asset editing framework built upon the TRELLIS 3D generation backbone. It achieves globally consistent geometric deformation in a sparse voxel latent space via ...
The data center as we know it is being reimagined as an “AI factory” – a power- and data-optimized plant that turns energy and information into intelligence at industrial scale. The tech stack is ...
Optical neural networks (ONNs) promise computing efficiency beyond microelectronics for modern artificial intelligence (AI). Current ONNs using analog matrix-vector multiplication (MVM) ...
The industry is increasingly talking about benefits brought by the RISC-V architecture, but is it even the right starting point? While it may not be perfect, it may provide the flexibility necessary ...
Integrating malicious AI models 6 into software supply chains presents a significant and emerging threat to cybersecurity. The attackers aim to embed malicious AI models in software components and ...
Ovaries are of paramount importance in reproduction as they produce female gametes through a complex developmental process known as folliculogenesis. In the prospect of better understanding the ...
This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...
aDepartment of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, PR China bOtorhinolaryngology Institute, Sun Yat-sen University, Guangzhou, Guangdong, PR ...
Understanding your customers is key to providing exceptional services and improving your brand’s image. In this digital era, customers constantly express their opinions, feelings, and experiences with ...
Abstract: Real-time object detection is one of the most important research topics in computer vision. As new approaches regarding architecture optimization and training optimization are continually ...
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