Multicore processing boosts performance and energy efficiency in many coding situations. Bare-metal algorithms further ...
Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...
For us to trust it on certain subjects, researchers in the growing field of interpretability might need to learn how to open ...
Nuclear leakage detection and radiation monitoring have become critical as the world generates increasing amounts of nuclear ...
Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by ...
Fear generalization allows learned threats to extend to similar stimuli, but the early sensory mechanisms involved are unclear. Here, authors show that fear conditioning reduces GABAB inhibition in ...
Abstract: Due to the irregular memory access and high bandwidth demanding, graph processing is usually inefficient on conventional computer architectures. The recent development of the ...
Abstract: Non-intrusive load monitoring (NILM) is an advanced technique for demand side management. While graph signal processing (GSP) based unsupervised methods have been explored in NILM, such ...
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