Updates and analysis from the frontiers of machine learning, robotics, neuroscience-inspired computing, and large-scale model development. Follow the discoveries, experiments, and scientific advances pushing the boundaries of what artificial intelligence can understand, predict, and create.
QUOTE OF THE DAY
Zhenzhong Lan and colleagues, 2019
“We present two parameter-reduction techniques to lower memory consumption and increase the training speed of BERT.”
Read MoreEXPLAINER OF THE DAY
What Is Federated Averaging?
Federated averaging trains a shared model by aggregating updates produced locally on many clients rather than centralizing their raw training data.
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