Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...
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 ...
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 ...
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) ...
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 ...
aDepartment of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, PR China bOtorhinolaryngology Institute, Sun Yat-sen University, Guangzhou, Guangdong, PR ...
Artificial Intelligence (AI) has transformed how we interact with technology, but at its core, AI relies on a fundamental building block: tensors. Think of tensors as the unsung heroes that make data ...
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 ...