The final, formatted version of the article will be published soon. {The paper discusses computational and numerical challenges that are associated with the truncation of the information and which ...

Abstract: This article presents a design and realization of fuzzy rule-based regression models based on standard decision trees. A two-phase design of rule-based model is offered in this study to ...

French AI startup Mistral launched its new Mistral 3 family of open-weight models on Tuesday, a launch that aims to prove it can lead in making AI publicly available and serve business clients better ...

AI black box models lack transparency, making investment decisions unclear. White box models are slower but clarify their decision-making processes. Investors should verify AI outputs to align with ...

Anthropic is offering $5 worth of free API access to users and developers. You can start using the API for Opus and Sonnet models. However, API access for the smallest Haiku model is not available yet ...

The social model of disability frames disability as something that is created by society, rather than only by medical conditions or physical differences. The model acknowledges that people have ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

R Symons Electric Vehicles, a U.K.-based electric vehicle dealer, drove two nearly identical Tesla Model 3s 200 miles for a range and efficiency test. Despite one car having 225,000 miles, it was just ...

While the second-generation Hyundai Palisade is already out and about in various places of the world together with an all-new hybrid variant, the Kia Telluride sibling is still the darling of the ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...