Urban environments depend on complex assemblages of infrastructure assets, interconnected networks, and socio-technical ...
Abstract: This paper proposes an iterative methodology to integrate large-scale behavioral activitybased models with mesoscopic traffic assignment models. The proposed approach fully decouples the two ...
ChoiceTech Korea (CTK) is a global leader specializing in AI-based optical design and image analysis solutions. With core ...
Progress will come from systems that can combine language understanding with explicit spatial and structural reasoning.
Penn Engineers have developed a novel design for solar-powered data centers that will orbit Earth and could realistically scale to meet the growing demand for AI computing while reducing the ...
A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
Background Anxiety disorders are persistent, functionally impairing conditions with high societal burden. In contrast, ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...
new video loaded: I’m Building an Algorithm That Doesn’t Rot Your Brain transcript “Our brains are being melted by the algorithm.” [MUSIC PLAYING] “Attention is infrastructure.” “Those algorithms are ...
Abstract: Mud volcanoes have sparked significant current academic interest because their creation process is closely tied to groundwater. Mud volcano detection is crucial in Mars exploration, but ...
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