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Based on our record, System76 Oryx Pro should be more popular than Apple Machine Learning Journal. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Someone told me https://system76.com/laptops/oryx but looking at ASUS Zephyrus G14. - Source: Hacker News / 7 months ago
Oryx Pro https://system76.com/laptops/oryx It can ship with either Pop!_OS or Ubuntu, and should be able to run any distro you want with no difficulties. Source: about 1 year ago
Same here, first time I'm hearing of a System 76 Oryx. Link for the lazy: https://system76.com/laptops/oryx. - Source: Hacker News / about 1 year ago
However - I have to admit I was not checking S76 new laptops recently and this new one looks interesting https://system76.com/laptops/oryx - having 4K option, but there's no 4k listed here https://tech-docs.system76.com/models/oryp9/README.html. Source: over 1 year ago
Any Linux gamers here? I've been a Linux user for many years, and (IMO) gaming on Linux has always been mediocre at best... I just got myself an Oryx Pro from System76 and I am blown away at how good this is. Proton has come a loooong ways and although it's a shame Rocket League doesn't have a native Linux version anymore, the Windows version on Proton runs so well! I couldn't believe that I could just plug in my... Source: over 1 year ago
For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
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