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AI is not a new concept, as it has existed since the 1950s. However, the approach to AI has changed over time. In the last few decades, AI has embraced the data-centric methodology. Affordable hardware to store and process large amounts of data combined with a thriving open-source community delivering software frameworks fuels AI innovation.

Calvin Zito, the host of the podcast of the ”Around the IT Block” podcast, invited me to join to talk about AI.

We talked about the definitions of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). What is the difference between Training and Inference? What does the accuracy of an AI model tell us? Is Edge the future?

You can listen and join the conversation in this episode: “#32 What is AI, ML, and DL?” of “Around the IT Block”.

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