Corrected: A previous version of this story misstated Devin Kearn’s university affiliation. A recent change to the definition of dyslexia put forth by an international group of researchers and ...

This research presents a mathematical model of medical decision support systems that combines the predictive approach of machine learning with the deductive approach of expert systems. This modeling ...

When OpenAI’s GPT-4 and other large language models (LLMs) first awed the public with fluent text generation, skeptics were quick to point out that producing convincing sentences isn’t the same as ...

In 2025, education is transforming, driven by game-changing technologies like artificial intelligence and the needs of a changing world of work. The traditional model of front-loading education in ...

Have you ever paused to consider what learning truly means? As you navigate through life, you’re constantly acquiring new knowledge and skills, often without even realizing it. Learning is a ...

Implementation of the Graph Tsetlin Machine. In this tutorial, you create graphs for the Noisy XOR problem and then train and test the Graph Tsetlin Machine on these. Noisy XOR gives four kinds of ...

Right-brain vs. Left-brain learning refers to the theory that individuals predominantly use one side of their brain while processing information and learning new skills. The left brain is associated ...

Machine learning (ML) is a subset of artificial intelligence (AI). It’s used to enable machines to independently improve their performance using data and experience to modify future actions. ML ...

The employment of numerous deduction rules and the construction of subproofs allows the complexity of proofs to develop infinitely in many deductive reasoning tasks, such as medical diagnosis or ...

Abstract: The article presents the conceptual foundations of the axiomatic-deductive strategy (ADS) organizing of e-learning course (ELC) knowledge and text, which satisfies the requirements for ELC ...