For almost a century, psychologists and neuroscientists have been trying to understand how humans memorize different types of information, ranging from knowledge or facts to the recollection of ...
A new quantum communication method uses the temporal Talbot effect to simplify high-dimensional quantum key distribution.
DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...
Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...
Deep learning methods such as multilayer perceptrons (MLPs) and convolutional neural networks (CNNs) have been applied to predict the complex traits in animal and plant breeding. However, it remains ...
Abstract: Recent advancements in deep learning for semantic communication have been significant, yet fixed-length encoding techniques struggle to capture the complex and variable nature of semantic ...
Recent studies suggest that working memory (WM) temporarily stores and processes bindings, while semantically related WM processing interacts with long-term memory (LTM). Semantic information can be ...
Propagation of light pulses with intermodal dispersion in MMF. Words are mapped to different frequencies (different colors), the optical pulses are stretched into different temporal dispersion curves.
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