In this post, I will look at the input and output parameter types for child flows. Recently I hit a couple of small issues ...

Understanding the feed-forward mechanism is required in order to create a neural network that solves difficult practical problems such as predicting the result of a football game or the movement of a ...

Following on from yesterday's post about Input and Output Parameters in Power Automate, today I'm looking at the same for flows that are called from a Power Apps canvas app. We will find that child ...

Back-propagation is the most common algorithm used to train neural networks. There are many ways that back-propagation can be implemented. This article presents a code implementation, using C#, which ...

Testing a regulator all the way down to zero volts to see how it behaves and finding an output level, below which bad things ...

H-bridge buck-boost ICs are widely used in applications requiring a constant voltage or current source even when the system ...

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...