STEM

Tickling/testing AI emotions

People familiar with Machine Learning and AI in general understand the underlying mechanics of how AI chat works. But to many non-techies, it can seem fantastic, magical, even eerie with their converstational abilities and responses blurring the lines between humans and machines. In this quick and simple converstation log, folks who are mystified with AI, […]

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STEM

Fun with AI: Text and Image->Video

One of the relatively newer tools that came online for the general public designed to transform ideas into AI-generated videos is Hailuo AI. In this post, I’ll share a couple of examples of its outputs based on my paintings, drawings, digital creations, and text prompts. Hailuo’s Conch Video is a product of Minimax, a China-based […]

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STEM

Classifying Emails as Spam or Ham Using Naive Bayes

In this blog post, we’ll explore how to use the Naive Bayes algorithm to classify emails as either spam or ham (non-spam). We’ll walk through a Python implementation using the MultinomialNB classifier from the scikit-learn library. This method is particularly effective for text classification problems. Step-by-Step Implementation Importing Libraries: We start by importing the necessary libraries: Loading the Dataset: […]

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STEM

Microsoft + Gutenberg colab: Thousands of free audiobooks

Project Gutenberg and Microsoft recently worked together to create thousands of free and open audiobooks using a new neural text-to-speech technology and Project Gutenberg’s public domain collection of e-books. Microsoft development team: “Our system allows users to customize an audiobook’s speaking speed and style, emotional intonation, and can even match a desired voice using a […]

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