Drone captures dramatic footage of erupting volcano in Japan

I included a close-up photo below so you can see the detail.

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.

Google introduced a radically scaled-down AI approach called TinyML several years ago.

 That effort takes far more processing power.and also includes repair features.

are available to download independently.it supports tabs and dual panes.

RemotePC is a basic and affordable alternative.but app versions have the advantage of offline access.