11–20 of 109 posts
I read the entire blog post and I don't understand the fanfare, it's a custom SoC, presumably to rival Apple's M1. I don't see anything innovative about this, besides heralding "begun, the neural net wars have". What is the benefit of having all of the ML bits on device? Can models leverage them post training?
I read the entire blog post and I don't understand the fanfare, it's a custom SoC, presumably to rival Apple's M1. I don't see anything innovative about this, besides heralding "begun, the neural net wars have". What is the benefit of having all of the ML bits on device? Can models leverage them post training?
Yes, the whole point is to be able do to things like improve personalized speech recognition on-device, image recognition on-device, translation on-device, etc.
I read the entire blog post and I don't understand the fanfare, it's a custom SoC, presumably to rival Apple's M1. I don't see anything innovative about this, besides heralding "begun, the neural net wars have". What is the benefit of having all of the ML bits on device? Can models leverage them post training?
Potentially improved privacy (this is how Apple tries to sell it). Less data has to leave the phone to gain the utility of the ML models.
Improved device performance. Reduced network use and better specialized chips leading to better performance. Either in terms of better battery life or better time to get the result.
I read the entire blog post and I don't understand the fanfare, it's a custom SoC, presumably to rival Apple's M1. I don't see anything innovative about this, besides heralding "begun, the neural net wars have". What is the benefit of having all of the ML bits on device? Can models leverage them post training?
> Pixel 6 will have the most layers of hardware security in any phone**. > **Based on a count of independent hardware security subsystems and components. That does not seem like a meaningful measure for security.
I wonder about the baseband (radio - wifi & cell) component. Are they using Qualcomm / Intel standalone chips? Or did they buy an IP core to integrate onto the SoC? I somehow doubt that they did it in-house, as it's a massive effort to match current state of the art.
I read the entire blog post and I don't understand the fanfare, it's a custom SoC, presumably to rival Apple's M1. I don't see anything innovative about this, besides heralding "begun, the neural net wars have". What is the benefit of having all of the ML bits on device? Can models leverage them post training?
Previous Pixels worked great but then inexplicably lost OS updates after only a few years.
I wonder about the baseband (radio - wifi & cell) component. Are they using Qualcomm / Intel standalone chips? Or did they buy an IP core to integrate onto the SoC? I somehow doubt that they did it in-house, as it's a massive effort to match current state of the art.