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Researchers Decode How We Turn Thoughts Into Sentences
An NYU team uses machine learning to analyze neural activity data and uncover how speech is produced. In a recent paper ...
American Institute of Physics17h
Image graph-based neural network enhances clinical image analysis
By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.
AI system decode polymer–solvent interactions for materials discovery
A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...
Semiconductor Engineering4mon
Physics Simulation With Graph Neural Networks Targeting Mobile
Graph Neural Networks are on the path to becoming more mainstream, with exciting opportunities for the maturation of essential operations across message passing such as scatters, gathers, segmented ...
marktechpost7mon
Understanding Deep Neural Network (DNN) - MarkTechPost
A Deep Neural Network (DNN) is an artificial neural network that features multiple layers of interconnected nodes, also known as neurons. These layers include an input, multiple hidden, and output ...
GitHub1y
TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for ...
About TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations" python machine-learning pytorch recommender-system graph-neural-networks Readme Apache-2.0 license ...