Writingdorky

6 ms·

1.
by Writingdorky 2y ago
You prope the trained model, delete/kill the weights and than you are done. On federated learning, you just make sure to keep this mechanism in the right stage of your pipeline
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by Writingdorky 2y ago
You are just joking right? From a skill and trust point of view, Google is doing a lot better than apple will ever. Including ondevice AI
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by Writingdorky 2y ago
I mean yes for sure but apple always had a high margin. I'm pretty sure they did not suddenly become 'nice'. Would be interesint to know though if the margin stayed the same and they literaly just save a lot of money.
4.
by Writingdorky 2y ago
The data source is linked and is based on the ARM Datacenter Energy prediction. But i don't think its too far fetched. The compute needed for digital twins, simulating a whole army of robots than uploading it to the robots, who sitll n
5.
by Writingdorky 2y ago
Thats actually a really good price. The mac book air with the M chip was absolutly a steal already. I'm surprised by this. Is that some thing to allow cheaper MX / Arm architecture in DCs? Is getting Apple affordable oO?!
6.
by Writingdorky 2y ago
It could make sense for you to consider an EV with bi-directional charging. For off-grid solar, you can charge your truck/car/EV for free or/and extend your off-grid battery by using your car to de/uncharge it for your h
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by Writingdorky 2y ago
You don't have to, it makes it a lot easier that you can do it. You can also charge supercapacitors and uncharge it very fast if you like. You can use the whole capacity of a charging park for just one car (if not a lot of cars are the
8.
by Writingdorky 2y ago
I like this 'my handwriting is write only'. when i was 18, i looked at notes from my new coworker / manager and asked him how he learned to write that nice. He told me that he struggled writing cursive and just started writin