[ensan]

"ML is starting to fizzle out as a “savior” of the industry after lofty promises were never fulfilled."

What? Siri, text completion, all the health- and activity-tracking features of Apple Watch, computational photography, Photos app, Face ID, and many, many more depend on machine learning. And let's not forget the Neural Engine in M1.

[thfuran]

If anything, it's just ramping up in a lot of industries.

[ensan]

Especially in biosciences. But it’s probably the case that the hardware that Apple produces don’t use fancier methods such as DL/RL that much and depend on more traditional methods. You need capable GPUs for the state of the art stuff (e.g. DLSS by Nvidia).

[LoveGracePeace]

It used to be AI then was renamed to ML (I know, ML is supposed to be a component of AI). AI has been touted since, let's see, my first encounter with it was in the early 1990's. It sucked. Then again in the early 2000's. It sucked. ML today is almost somewhat barely usable with hurculean efforts, IOW...it still sucks.

[newbie2020]

Siri is not a good example. It is horrible for most real-world tasks when I need to use hands-free