Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
The optimized detection model is integrated into both a mobile application and a dedicated edge device, demonstrating that real-time waste detection can operate reliably without cloud connectivity.
Space.com on MSN
AI finds hundreds of never-before-seen 'cosmic anomalies' in old Hubble Telescope images
This is the first time humans have laid eyes on these deep space objects.
A groundbreaking study introduces a novel classification framework based on the video Head Impulse Test (vHIT) that significantly improves the ...
Google's Project Genie may prove that world models matter more than LLMs for defense. The military that masters physics ...
Morning Overview on MSN
150M plants one colossal digital forest built by a US robotics firm
A US robotics company has quietly assembled what amounts to a colossal digital forest, training an artificial intelligence ...
The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
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