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Based on our record, D (Programming Language) should be more popular than Apple Machine Learning Journal. It has been mentiond 55 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.
Those languages are definitely with us, https://dlang.org/ https://www.embarcadero.com/products/delphi https://www.mikroe.com/mikropascal-arm https://www.eiffel.com/ https://www.ptc.com/en/products/developer-tools/objectada. - Source: Hacker News / 24 days ago
Show examples on the main web page. Try and find an AngelScript example. It's stupidly hard. Compare it to these web sites: https://dlang.org/ https://koka-lang.github.io/koka/doc/index.html https://vale.dev/ http://mu-script.org/ https://go.dev/ https://www.hylo-lang.org/ Sadly Rust fails this too but at least the Playground is only one click away. And Rust is mainstream anyway so it doesn't matter as much. I... - Source: Hacker News / 9 months ago
>and D The D language, that is. https://dlang.org. - Source: Hacker News / 12 months ago
You are both right it seems. GP seems to have omitted withour GC. Number one on your list could be Dlang no? Not affiliated. https://dlang.org/. - Source: Hacker News / 12 months ago
Check out D. It has Turing-Complete templates with specialised static if, static foreach, version, and debug constructs, all as statements and declarations, as well as more general quasiquoting expressions and declarations with mixin (yes, that is the same as Ruby's, Python's or PHP's eval, but at compile-time; in fact you can import() files at compile-time too and write a compiler in user code that compiles... Source: 12 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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