A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
The Chosun Ilbo on MSN
Universities bridge AI education gap for regional students
Recently, in a lecture room at the Daegu Startup Hub in Dong-gu, Daegu, Kim Soo-pil, a senior researcher at the Daegu ...
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 ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
In 1989, a computer scientist tackled the messy challenge of reading handwritten zip codes for the US Post Office. This ...
By Pietro Antonio Ciclese, Senior Technical Marketing Engineer, Ambarella The workloads that generate the most commercial ...
SummaryRFIC design is a complex “dark art” that limits progress in wireless technologies like 5G, autonomous vehicles, and ...
A patent-pending innovation created and validated in Purdue University's College of Engineering could strengthen ...
A patent-pending innovation created and validated in Purdue University’s College of Engineering could strengthen ...
Abstract: Deep learning (DL) has been widely applied in wireless communications to address diverse challenges, such as beam management, positioning, and channel state information (CSI) feedback.
Artificial intelligence systems are becoming increasingly powerful—but also harder to understand. A new study introduces eXplainable artificial ...
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