This repository documents my learning journey toward becoming an AI algorithm engineer. I am using this repository to systematically improve my practical skills in Python, algorithms, data processing, ...

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..) ...

Optical computing presents a promising avenue to meet the escalating computational demands. However, optical analog computing is susceptible to environmental perturbations, relies heavily on ...

On today’s episode, we are joined by Dan Macallair of the Center on Juvenile and Criminal Justice, to talk about his organization’s new report, Costly Blunder: The Expansion of Juvenile Halls in ...

Promoting safe walking among older adults requires precise identification of environmental barriers that disrupt gait. Traditional adult- and survey-based walkability assessments are labor-intensive ...

Chances are you’ve heard of Thuma beds before, even if you’re not in the market for a new bed frame. I don’t know what your social media algorithm looks like, but my Instagram feeds have been flooded ...

In this post, we’ll cover the basic concepts of how recurrent neural networks work, what the biggest issues are and how to solve them. Recurrent neural networks are a powerful and robust type of ...

Artificial intelligence, or at least the modern concept of it, has been with us for several decades, but only in the recent past has AI captured the collective psyche of everyday business and society.

A backpropagation algorithm, or backward propagation of errors, is an algorithm that's used to help train neural network models. The algorithm adjusts the network's weights to minimize any gaps -- ...

The complexity of fire and smoke in terms of shape, texture, and color presents significant challenges for accurate fire and smoke detection. To address this, a YOLOv8-based detection algorithm ...