Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...

Cheung, K. , Siu, Y. and Chan, K. (2025) Dual-Dilated Large Kernel Convolution for Visual Attention Network. Intelligent ...

A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain's language system.

Pearce, a cartographer, graduated with her master’s degree from Clark University in Worcester, Mass., in 1995 and with her ...

Kinesin-1 is a dynamic heterotetrameric assembly of two heavy and two light chains (KHC and KLC) that mediates microtubule-based intracellular transport of many different cargoes. The complex adopts a ...

Learn how advanced safety practices and precision techniques are shaping modern construction and fabrication in the power ...

The technology works like a translator, not a mind reader – It converts brain scan patterns into coherent sentences by learning which neural patterns correspond to different types of visual content, ...

This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...

This paper describes the eccentricity, amplitude, phase shift, angular momentum, polarization, radial path, and orbital ...

Jupiter’s volcanic moon has always felt like a place that tests your sense of what a world can be. Its surface glows with ...

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