In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...
The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Abstract: Event cameras are emerging imaging technology that offer advantages over conventional frame-based imaging sensors in dynamic range and sensing speed. Complementing the rich texture and color ...
@article{zhang2025unified, title={Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities}, author={Zhang, Xinjie and Guo, Jintao and Zhao, Shanshan and Fu, ...
Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.
Abstract: This paper presents our Cityscape Aerial image Dataset for Object deTection (CADOT), a new benchmark dataset for object detection, based on raw aerial images sourced from the IGN website and ...
Inspired by The Irishman, MyTimeMachine performs personalized de-aging and aging with high fidelity and identity preservation from ~50 selfies, extendable to temporally consistent video editing. SAM ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in image-related tasks. These systems have found applications in medical diagnosis, ...
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