Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
When engineers and planners design roads, bridges and dams, they rely on hydrological models intended to protect ...
For the first time in years, Nvidia declined to introduce new GeForce graphics card models at CES. CEO Jensen Huang’s ...
GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...
Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...
A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.
Physical AI describes intelligent systems that can sense, interpret, and act in real environments. Think of self-driving cars ...
Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...
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One image is all robots need to find their way
While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...
For CTOs, these technology predictions for 2026 aren’t a call to chase every new tool, but to recognize where the ground is ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
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