The ChatGPT Images 2.0 model is here. Our testing shows it’s better at creating more detailed images and rendering text, but ...

Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

The research identifies several limitations that must be addressed for large-scale deployment. One of the primary challenges ...

Figures 12-14 are the land use/land cover maps of existing forest reserves in the FCT, namely; Tufa in Abaji, Chihuma, Chikwei, Kusoru and Shaba in Bwari, Maje Abuchi in Gwagwalada, then, Buga Hill, ...

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping reflections, highlights, and other effects consistent across different viewing angles. Here ...

The generative AI models used in classified environments can answer questions but don't currently learn from the data they see. That could soon change. The Pentagon is discussing plans to set up ...

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An operator fires a Fagot portable anti-tank missile system (ATGM) under the supervision of an instructor in Ukraine, on Jan. 4, 2026. (Dmytro Smolienko/Ukrinform/NurPhoto via Getty Images) MILAN — ...

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...

Adversarial training is a crucial technique for enhancing the robustness of deep learning models. Previous studies have shown that adversarial training can alter the frequency bias of deep learning ...

Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with ...