Artificial Intelligence Articles

Anders Indset

Updated on May 27, 2025

Our expert lays out a vision for the effects of Quantized Intelligence on humanity’s future.

Artem Oppermann

Updated on May 23, 2025

In this four-part series, I’ll show you how the Markov decision process works and the mathematical theory you need to know to understand deep reinforcement learning.

Gediminas Rickevičius

Updated on May 22, 2025

The rise of visual search and generative engine optimization (GEO) requires new SEO strategies to keep up. Here’s how to stand out.

Zijian Feng

Updated on May 22, 2025

ResNet (Residual Network) architecture is a type of artificial neural network that enables the flow of gradients through skip connections, which mitigates vanishing gradients and improves trainability in very deep convolutional neural networks.

Abhijeet Pujara

Updated on May 22, 2025

MobileNet is a mobile-first class of convolutional neural network (CNN) that was open-sourced by Google and provides a starting point for training classifiers through a lightweight model.

Bharath Krishnamurthy

Updated on May 22, 2025

Advancements in artificial intelligence and deep learning have led to the rapid development of chess engines. Here’s a look at the history of chess AI, how it continues to evolve and how developers can get started in building their own chess AI engines.

John Hession

Updated on May 22, 2025

A Liquid neural network (LNN) is a new neural network architecture that relies on fewer, dynamic nodes to handle time series prediction tasks. Here’s how it works. 

Sunny Srinidhi

Updated on May 22, 2025

Lemmatization is a text pre-processing technique used in natural language processing (NLP) models to break a word down to its root meaning to identify similarities. It is one of the most common text pre-processing techniques used in NLP.

Richmond Alake

Updated on May 22, 2025

Cosine similarity measures the similarity between two non-zero vectors by calculating the cosine of the angle between them. Here's the basics behind cosine similarity and how it is used across different areas of machine learning.

Vegard Flovik

Updated on May 22, 2025

Graph theory is the study of graph data structures, which model object relationships using vertices connected by edges. It is a helpful tool to quantify and simplify complex systems.