Markov modeling is a common approach to analyzing the performance of computer systems, service facilities, and manufacturing systems. The performance (such as mean response time) of a system can be ...

Everybody is about algorithmic processes and feed manipulation, but is that really new? What if the algorithm powering your Google search results and the predictive text on your phone originated from ...

In this post, we will show you how to get Word, Excel, PowerPoint, and Outlook for free on a Windows 11/10 PC. All these applications are part of the Microsoft 365 (Formerly Office 365) or Office 2024 ...

ABSTRACT: An algorithm is being developed to conduct a computational experiment to study the dynamics of random processes in an asymmetric Markov chain with eight discrete states and continuous time.

Chain of Thought (CoT) of multi-step benefits from the logical structure of the reasoning steps and task-specific actions, significantly enhancing the mathematical reasoning capabilities of large ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I closely examine an innovative way of ...

Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing (NLP) tasks, such as machine translation and question-answering. However, a ...

Abstract: The additional resource consumption generated during the repeated training processes of neural networks, including time and computational power costs, is a problem of significant concern. We ...

Abstract: Markov chains are a class of probabilistic models that have achieved widespread application in the quantitative sciences. This is in part due to their versatility, but is compounded by the ...