This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
Singapore has one of the highest life expectancies in the world, yet many individuals spend almost a decade in poor health ...
Akhil Nagori, Evann Sun, and Lucas Shengwen Yen spent about five months creating a pair of 3D-printed smart glasses that can ...
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GRU explained | How gated recurrent units work
Gated Recurrent Unit (GRU) is a type of Recurrent Neural Network (RNN) which performs better than Simple RNN while dealing ...
A Texas power developer is proposing to use repurposed retired U.S. Navy nuclear reactors from aircraft carriers and ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
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Types of RNNs: Which one to use and why?
In this video, we will look at different types of Recurrent Neural Networks. There are mainly 3 types of Recurrent Neural ...
Neuroscientists have been trying to understand how the human brain supports numerous advanced capabilities for centuries. The ...
NeuExcell Therapeutics announced encouraging clinical results of NXL-004, the world’s first in situ conversion gene therapy ...
Abstract: This work aims to investigate the use of the Recurrent Neural Network (RNN) in automated English grading. In order to achieve this, this work first constructs an automated English grading ...
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