A training approach where the model learns from data spread across many devices without that data ever leaving those devices.
A training approach where the model learns from data spread across many devices without that data ever leaving those devices. Each device trains a local model and only shares the updates, not the raw data. Pioneered by Google for keyboard predictions on phones. Great for privacy-sensitive applications.
A mathematical function applied to a neuron's output that introduces non-linearity into the network.
An optimization algorithm that combines the best parts of two other methods — AdaGrad and RMSProp.
Artificial General Intelligence.
The research field focused on making sure AI systems do what humans actually want them to do.
The broad field studying how to build AI systems that are safe, reliable, and beneficial.
The science of creating machines that can perform tasks requiring human-like intelligence — reasoning, learning, perception, language understanding, and decision-making.
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