Recently, in a lecture room at the Daegu Startup Hub in Dong-gu, Daegu, Kim Soo-pil, a senior researcher at the Daegu ...

Abstract: Learning-based precoding has been shown able to be implemented in real-time, jointly optimized with channel acquisition, and robust to imperfect channels. Nonetheless, existing works rarely ...

Abstract: The success of traditional methods for solving computer vision problems heavily depends on the feature extraction process. But Convolutional Neural Networks (CNN) have provided an ...

I have provided 3 pre-trained models under /models, which can be loaded into "LiveTestModels.py" to test the models to see what they think the images in /images are. If you wish to mess around the ...

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 ...

Contributed by Anton Zeilinger, October 24, 2019 (sent for review August 19, 2019; reviewed by Ebrahim Karimi and Terry Rudolph) A computer algorithm with access to a large corpus of published ...

A faint glow of gamma rays hangs over the center of the Milky Way, stretching across thousands of light-years and refusing to ...

BioCoach is a new AI prototype that watches you exercise through your camera, reconstructs your skeleton in 3D, and tells you which joint angle to fix. The Latest Tech News, Delivered to Your Inbox ...

It will be useful to regulate AI, but primarily at the application level. For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving ...

Researchers are calling for the application of locally driven strategies, supported by stronger regional evidence, to improve early cancer detection and precise care.

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...