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I was at home watching the kids playing football when I heard the word “AI” (Artificial intelligence) floating around the neighborhood. For some reason, that particular phrase caught my attention as it sounded eerie, and I started wondering what could be the impact of AI on learning and humanity. As an engineer, I couldn’t help but feel the implications of AI on machine learning and deep learning. The very term machine learning and deep learning, however, was not something we talked about much back then. AI had yet to become a household name
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Today, a new machine learning technique emerges, known as XLA (Extended Linear Algebra). click for more A machine that can perform linear algebra calculations using the same architecture as a regular CPU/GPU (Graphics Processing Unit/GPU). However, XLA is not a replacement for the current machine learning workflow. Rather, it will be used in the most demanding situations such as creating neural networks for deep learning models. This technology has the potential to solve many problems in deep learning, but the benefits are not yet apparent. For instance, XLA