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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 ...
A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...
Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in “Nature Communications,” the tool, called ...
A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...
In the rapidly advancing landscape of Industrial IoT (Internet of Things), cybersecurity has taken on unprecedented importance. The proliferation of connected devices in industrial sectors has ...
CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...
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New chip design cuts AI energy use by enabling smarter FPGA processing
A new innovation from Cornell researchers lowers the energy use needed to power artificial intelligence—a step toward ...
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 ...
To close the capability gap, learning and development teams should consider using agentic AI tools to help scale and ...
In the rapidly evolving field of computational intelligence, there is a pressing demand for advanced tools and algorithms ...
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