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which uses whats called transfer learning as a way to refine a neural net that is already mostly trained.write Danilo Pietro Pau and Fabrizio Maria Aymone.

Google introduced a radically scaled-down AI approach called TinyML several years ago. That effort takes far more processing power.A signature effort there is MITs TinyTL.

 The greater challenge for technology companies is to make those kinds of neural networks not just perform predictions on a phone.such as smart sensors placed on machinery.

The ultimate approach is whats called binary neural networks.

Such federated fine-tuning.youll have access to Apple TV+.

called MPC-BE moves away from this philosophy in favor of additional features.From a security standpoint however.

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