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India’s space agency is testing reusable space technology for the same reason SpaceX and others have focused on reusability in recent years – to drive down the cost of successive launches.

 Pau and Aymone found that replacing back-propogation with simpler math could reduce the amount of on-device memory needed for the neural weights by as much as 94%.which is called federated learning.

Some scientists advocate for splitting up the training task among many client devices.where it could be intercepted by malicious parties.Also: Machine learning at the edge: TinyML is getting bigEfforts have been underway to conquer that computing mountain by doing things such as selectively updating only portions of the neural nets weights or parameters.

2024 could be the year the divide is crossed -- and it could be when AI starts to learn in your pocket. Also: How Google and OpenAI prompted GPT-4 to deliver more timely answersThe authors suggest slimming down a neural net.

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.you get specialized backup software.

Mac users can enjoy the Photos app.The free version of One Commander includes more features.

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