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Mojo

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Mojo's Python Revamp: AI-Ready

Originally Published 2 years ago — by Slashdot

Computer scientist Chris Lattner is developing a new language called Mojo, aiming to combine the ease of use of Python with the performance of more complex languages like C++ or Rust. Mojo is designed to address the inefficiencies of Python in running AI processes and offers faster execution across multiple hardware platforms. It unifies the AI programming stack by providing a language with Python syntax that can run up to 35,000 times faster, particularly excelling in matrix multiplications used in neural networks. Mojo is a superset of Python, allowing existing Python code to run faster with added features like threads and static typing. While still in its early stages, Mojo has garnered interest from Python creator Guido van Rossum.

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"Python's AI Mojo: Unleashing its Power for Innovation"

Originally Published 2 years ago — by The New Stack

Mojo, a superset of Python, is being developed to address performance issues in the artificial intelligence (AI) space. The goal is to create a language that is fully compatible with the Python ecosystem while providing low-level performance and control. Mojo aims to enable systems-level optimizations and flexibility that unlock the features of any device in a way that Python cannot. While claims of speeding up Python code by a factor of 3,500 depend on the hardware, Mojo offers potential solutions to the challenges faced in AI programming systems. The language is not yet available but will be open-sourced in the future.

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