As deepfakes blur the line between truth and fiction, we’ll need a new class of forensic experts to determine what’s real, ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI systems without hacking their software. Self-driving cars, autonomous robots ...
Current foundation models outperform trainees on text questions but struggle with multimodal ophthalmic imaging ...
Now they’re being clogged with AI slop. Scientific publishing has always had its plumbing problems. Even before ChatGPT, ...
Abstract: Deep learning models in computer vision face challenges such as high computational resource demands and limited generalization in practical scenarios. To address these issues, this study ...
Abstract: Vision Transformer (ViT) is an image recognition model that uses transformer architecture, which has a numerous advantage over Convolution Neural Networks (CNN). It offers improved accuracy, ...
[Dennis] of [Made by Dennis] has been building a Voron 0 for fun and education, and since this apparently wasn’t enough of a challenge, decided to add a number of scratch-built improvements and ...
Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new problem for AI to tackle in 2026. Opinion I have followed computer vision and ...
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