Based on our record, Stack Overflow Trends should be more popular than Apple Machine Learning Journal. It has been mentiond 28 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.
It has, but it wasn't adopted by the pragmatists in that time. It's hard to tell if the early adopters adopted it either - It doesn't show up at all in the 2023 stack overflow survey (nor in the previous two years) - https://survey.stackoverflow.co/2023/#technology-most-popular-technologies - It doesn't show up in questions asked on Stackoverflow since 2008 -... - Source: Hacker News / 7 months ago
> In 2017 I had React projects in production for years. I doubt that. React wasn't stable until 2015, and wasn't mainstream until 2016. > And it only got worse and the overengineering to make it looks fast in the first load is not worth it as modern JS frameworks are faster than React out-of-the-box. Again, Next.js != React; the former builds on the latter, it doesn't replace it nor does it claim to be the same... - Source: Hacker News / 8 months ago
> Prior to Next.js, React was hard to setup and maintain No, it wasn't. > I started using Next.js in 2017. It made React a real production framework In 2017 I had React projects in production for years. > React was hard to setup and maintain and hard to make it go fast (on first load) And it only got worse and the overengineering to make it looks fast in the first load is not worth it as modern JS frameworks are... - Source: Hacker News / 8 months ago
Based on what? https://insights.stackoverflow.com/trends?tags=python%2Cjava. - Source: Hacker News / 10 months ago
Fair enough, my information is outdated. StackOverflow agrees. [1] [1] https://insights.stackoverflow.com/trends?tags=django%2Cruby-on-rails. - Source: Hacker News / 10 months 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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