Artificial Intelligence Articles

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Anders Indset Anders Indset
Updated on May 27, 2025

How Quantum Computing and Advanced AI Are Redefining the Boundaries of Human Thought

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

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Artem Oppermann Artem Oppermann
Updated on May 23, 2025

How AI Teach Themselves Through Deep Reinforcement Learning

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 Gediminas Rickevičius
Updated on May 22, 2025

How AI and Visual Search Are Rewriting the SEO Playbook

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

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Zijian Feng Zijian Feng
Updated on May 22, 2025

An Overview of ResNet Architecture and Its Variants

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.

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Abhijeet Pujara Abhijeet Pujara
Updated on May 22, 2025

Image Classification With MobileNet

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.

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Bharath Krishnamurthy Bharath Krishnamurthy
Updated on May 22, 2025

The Evolution of Chess AI

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.

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John Hession John Hession
Updated on May 22, 2025

Liquid Neural Networks (LNN): A Guide

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. 

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Sunny Srinidhi Sunny Srinidhi
Updated on May 22, 2025

Lemmatization in Natural Language Processing (NLP) and Machine Learning

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.

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Richmond Alake Richmond Alake
Updated on May 22, 2025

Understanding Cosine Similarity and Its Applications

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.

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Vegard Flovik Vegard Flovik
Updated on May 22, 2025

An Introduction to Graph Theory

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.

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