Apple Makes RNN Training Practical at Billions of Parameters for the First Time
Apple researchers made recurrent neural network training practical at billions of parameters for the first time, reopening a previously abandoned architectural direction more memory-efficient than transformers. Here’s what this breakthrough, plus new cancer prediction and neuroimaging foundation models, reveal about where machine learning research is headed.
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