Swift VS Apple Machine Learning Journal

Swift Reviews

Apple Machine Learning Journal Reviews

Swift mentions (27)

• Swift was always going to be part of the OS

  The raisons d'être between the CLR (and C#) and Swift are entirely different. Apple has explicitly set out to adopt swift as a successor language to C, Objective-C, C++, and Objective-C++[0][1]. This stands in stark contrast to Microsoft's vision for the CLR, which was… to be a better Java, more or less? (Does anyone actually know what the .NET initiative was all about? Microsoft went absolutely ham on it... - Source: Hacker News / 5 months ago

• Local Dev Meetup

  What part of the coding universe are you interested in? Swift? React? Fission Ecosystem? Source: 5 months ago

• Bare Metal Rust in Android

  -- https://developer.apple.com/swift/ They also mention plans for kernel and firmware targets on that talk. - Source: Hacker News / 7 months ago

• Bare Metal Rust in Android

  Not for Apple, > Swift was designed from the outset to be safer than C-based languages, and eliminates entire classes of unsafe code. -- https://www.swift.org/about/ > Swift is a successor to the C, C++, and Objective-C languages -- https://developer.apple.com/swift/. - Source: Hacker News / 7 months ago

• How popular are libraries in each technology

  Other popular mobile app libraries and languages include Swift, Kotlin, and React Native. Swift is a programming language developed by Apple that is used for iOS and macOS development. Kotlin is a programming language developed by JetBrains that is used for Android development. React Native is a JavaScript framework developed by Facebook that enables developers to build mobile applications for iOS and Android... - Source: dev.to / 11 months ago

Apple Machine Learning Journal mentions (6)

• Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]

  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: 12 months ago

• Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?

  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

• Apple’s secrecy created engineer burnout

  They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / almost 2 years ago

• [D] Is anyone working on open-sourcing Dall-E 2?

  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

• How does Apple achieve both secrecy and quality for a release?

  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