Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far more electricity than the human brain to operate.
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...
A Physics-Inspired Deep Learning Framework With Polar Coordinate Attention for Ptychographic Imaging
Abstract: Ptychographic imaging confronts inherent challenges in applying deep learning for phase retrieval from diffraction patterns. Conventional neural architectures, both convolutional neural ...
aShanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information ...
This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
Abstract: Human pose estimation has emerged as one of the most prominent research directions in computer vision in recent years. This technology aims to acquire human pose information from images or ...
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