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AI/ML STIG Lecture Series

Artificial Intelligence and Machine Learning Science and Technology Interest Group (AI/ML STIG)

AI/ML STIG about AI/ML STIG Lecture Series

Location

Virtual

Founded

22 December 2025

Community

AI/ML STIG

Type

Seminar

JAX

Speaker

Philip Cargile (Harvard CfA)

Dive into JAX, Google's high-performance numerical computing library. Learn how JAX combines NumPy-like syntax with automatic differentiation, vectorization, and JIT compilation to accelerate scientific computing and machine learning workflows.

Topics Covered:

  • JAX fundamentals and NumPy compatibility
  • Automatic differentiation with grad, value_and_grad
  • JIT compilation for performance
  • Vectorization with vmap and pmap
  • Functional programming paradigm
  • Building neural networks with JAX
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