Abstract: Accurate preoperative recurrence prediction for non-small cell lung cancer (NSCLC) is a challenging issue in the medical field. Existing studies primarily conduct image and molecular ...
Abstract: Influenced by the prevalence of mobile edge computing (MEC), massive consumption data is generated from customer applications. Tensor-based data representation and fusion methods are ...
We're changing how we test gpu power draw - the new methodology is both more useful and more accurate. Dominic takes us through how we tested in the past, and how we are going to test from here on - ...
Accurate data is valuable. Accurate and easily accessible data is priceless. In a world where artificial intelligence has become the beating heart of business decision making, the quality and ...
New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke University, combines citizen bird observations with artificial intelligence ...
Agentic AI shopping journeys are going mainstream, and companies will now need to consider how any AI platform's access to data could affect the human shopping experience. This will lead to the ...
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