weights

Machine Learning

Gradient Descent Explained Simply

In this video, learn about Gradient Descent and how we can use it to update the weights and bias of our AI model. Time Stamps 00:00 – what is gradient descent? 00:37 – gradient descent vs perception 01:04 – sigmoid activation function 01:45 – bias and threshold 02:06 – weighted sum – working example 02:37 […]

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AI Hardware

The AI Hardware Problem

The abundance of automation and tooling made it relatively manageable to scale designs in complexity and performance as demand grew. However, the power being consumed by AI and machine learning applications cannot feasibly grow as is on existing processing architectures. Where do we go from here? New Mind explores.

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