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Mojo Rising: The resurgence of AI-first programming languages
Unlike languages like Rust, Zig or Nim, which can have steep learning curves, Mojo allows developers to write code that seamlessly integrates with Python libraries and frameworks.
Join us as we return to NYC on June 5th to engage with top executive leaders, delving into strategies for auditing AI models to ensure fairness, optimal performance, and ethical compliance across diverse organizations. Arguably, the trend started with APIs and frameworks like TensorFlow’s Tensor Computation Syntax, Julia, along with revived interests in array-oriented languages like APL and J, which offer domain-specific constructs that align with the mathematical foundations of machine learning and neural networks. Unlike low-level beasts like CUDA and Metal, Bend feels more like Python and Haskell, offering fast object allocations, higher-order functions with full closure support, unrestricted recursion and even continuations.
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