Graph Neural Networks (GNNs) and network embedding techniques ... One significant advancement in GNNs is the introduction of novel architectures that improve representation learning.
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New training technique opens the door to neural networks that require much less energyAI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our ...
Comprehension of this process guides neuroscience nurses in gaining an understanding of normal development of the brain's initial neural networks. In recent years, there has been a thrust of ...
Recent advancements in neural networks, particularly convolutional ... One of the notable developments in this field is the introduction of the Spectral–Spatial Feature Tokenization Transformer ...
A collaborative team of researchers from Carnegie Mellon University and the University of Pittsburgh designed a clever experiment using a brain-controlled interface to determine whether one-way ...
Researchers developed a novel method combining hydrogel-coated microfluidic devices with high-density microelectrode arrays ...
AI models like artificial neural networks and language models help scientists solve a variety of problems, from predicting the 3D structure of proteins to designing novel antibiotics from scratch.
Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.
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