Abstract: We present a highly accurate single-image superresolution (SR) method. Our method uses a very deep convolutional network inspired by VGG-net used for ImageNet classification [19]. We find ...

Abstract: We propose a novel spatiotemporal fusion method based on deep convolutional neural networks (CNNs) under the application background of massive remote sensing data. In the training stage, we ...

Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling Ada-RefSR ICLR2026 code diffusion, one-step, reference-based, ...

Background Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in clinical management. The use of artificial intelligence (AI) offers an opportunity to improve risk ...

Using AI and Australia's supercomputing infrastructure, researchers mapped 94 million craters on Mars, transforming planetary ...

Genome-wide association studies (GWAS) have catalogued hundreds of thousands of genetic variants linked to complex human traits and diseases, with more than 625,000 variant-trait associations across ...

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A difficulty-graded mouse brain dataset pairs 3D microscopy images with verified neuron reconstructions to support AI-driven ...

The spatial organization of chromatophore-muscle innervation by motoneurons enables the generation of chromatophore-shaped noise, virtual or composite chromatophores, and shape elements such as lines ...

The Dell Pro Max 18 Plus wants to give you all the desktop-tier firepower in the world. In return, you must be ready to bear its sheer bulk and the cost burden. The Latest Tech News, Delivered to Your ...

Doctors at central Ohio’s major hospital systems say artificial intelligence is helping them see more than they could before.

Artificial Intelligence is transforming GI endoscopy by improving detection accuracy, enhancing diagnosis, and supporting ...