Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...
Many companies justify complacency as risk aversion. The best leaders cultivate healthy paranoia to spot shifting ground, and ...
This study offers a valuable advance for neuroscience by extending a visualization tool that enables intuitive assessment of how dendritic and synaptic currents shape the output of neurons. The ...
The role of megafaunal exploitation in early human evolution remains debated. Occasional use of large carcasses by early hominins has been considered by some as opportunistic, possibly a fallback ...
Abstract: Recent years have witnessed the success of deep networks in compressed sensing (CS), which allows for a significant reduction in sampling cost and has gained growing attention since its ...
Abstract: This article investigates the dynamic event-triggered consensus of linear leader-following multiagent systems under matrix-weighted networks. In such networks, matrix weights characterize ...
In this blog we will explore relevant issues pertaining to patients with complex corneas — irregular astigmatism, keratoconus, corneal trauma or post-corneal surgery — who represent approximately 12% ...
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