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Multimodal deep learning model improves risk prediction for cervical cancer radiotherapy decisions
Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...
On September 9, the WAVE SUMMIT Deep Learning Developer Conference 2025 was held in Beijing, hosted by the National ...
Researchers develop multimodal deep learning model to enhance precision radiotherapy decision-making
Researchers developed a deep learning-based multimodal prognostic model that shows strong potential to improve disease-free ...
Baidu (NASDAQ:BIDU) unveiled its latest reasoning model, Ernie X1.1, along with other AI advancements at its deep learning ...
Reflecting on the developments of 2024, this year has been transformative for the entire educational landscape. We’ve witnessed how the thoughtful integration of artificial intelligence can elevate ...
The success of a deep learning-based network intrusion detection systems (NIDS) relies on large-scale, labeled, realistic traffic. However, automated labeling of realistic traffic, such as by sand-box ...
Our group is currently working on energy-efficient computer vision and multimodal deep learning for a wide range of applications (e.g., smart healthcare). We focus on cutting-edge research including i ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
Wenxin X1.1 Deep Thinking Model Launched, Achieving SOTA in Multiple Benchmark Tests At the conference, Baidu's Chief ...
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