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Source channel @githubtrending · Post #15365 · Dec 24

#jupyter_notebook DINOv3 offers powerful self-supervised vision models from Meta AI, like ViT up to 7B parameters and ConvNeXt, pretrained on 1.7B web or satellite images. Load them easily via PyTorch Hub, Hugging Face Transformers (v4.56+), or timm (v1.0.20+), with code examples for features, depth, detection, and segmentation. You benefit by using these top-performing, dense features without fine-tuning or labels—saving time and compute for tasks like classification, object detection, and zero-shot analysis on your images. https://github.com/facebookresearch/dinov3

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Crypto M - Crypto News

@CryptoM · Post #65040 · 04/10/2026, 03:26 PM

🚀 Quantum Threats Are Real but Not Immediate, Experts Say Quantum computing poses a genuine threat to current cryptographic systems, but it is not an immediate concern. According to PANews, understanding which cryptographic components will be affected and how the industry plans to transition is crucial. Experts emphasize the importance of identifying vulnerable areas and preparing for a gradual migration to quantum-resistant technologies. The focus should be on strategic planning and readiness to ensure security in the face of future quantum advancements. #QuantumComputing#Cryptography#CyberSecurity#QuantumThreats#QuantumResistant#TechPlanning#FutureTechnology