Input and expertise from radiologists can help develop better and more trustworthy artificial intelligence (AI) tools, new ...

Since defect image samples are limited, this paper uses GAN to generate additional defect images to expand the training data, reducing the risk of overfitting due to insufficient data. Experimental ...

Apple Inc. is in early discussions with Google to explore building a custom AI model using Google Gemini to power a revamped version of the Siri voice assistant.

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This study presents a robust architectural framework designed to automate the detection of pinworm parasite eggs in microscopic images. The proposed approach, the YOLO Convolutional Block Attention ...

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The use of multimodal images can facilitate to address the above challenges, as they can provide complementary information of anomalies. Therefore, this paper propose a novel method for UAD in ...

The research team, led by Professor Min-Soo Kim of the School of Computing, developed FlexGNN, a GNN system that—unlike existing methods using multiple GPU servers—can quickly train and infer ...

The rapid advancement of artificial intelligence — particularly the training of large-scale models that are used to power many of today’s widely used applications — is driving renewed growth in ...

LLMs’ “simulated reasoning” abilities are a “brittle mirage,” researchers find Chain-of-thought AI "degrades significantly" when asked to generalize beyond training.

Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors.