Google’s new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute
Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.
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Dual-domain architecture shows almost 40 times higher energy efficiency for running neural networks
Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...
Brain-inspired neural networks reveal insights into biological basis of relational learning
Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...