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 ...

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

Abstract: Recently, the hybrid deep neural network (DNN)-hidden Markov model (HMM) has been shown to significantly improve speech recognition performance over the conventional Gaussian mixture model ...

From detecting pancreatic cancer three years early to recognising 18 tumour types from a handful of tissue slides, AI is transforming medicine. Here is a comprehensive guide to the breakthroughs, the ...

AI’s “backbone” increasingly means energy, infrastructure, and matrix math powering massive next-generation computing systems.

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

Computing architecture is being reimagined as CoreWeave and Nvidia validate the Vera Rubin NVL72 rack-scale platform to power ...

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 ...

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 ...