US agencies raise concerns over use of xAI's Grok: report

Officials at several U.S. federal agencies have raised concerns about the safety and reliability of Elon Musk’s xAI's AI tools.
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Three ways of using an LLM

Large Language Models (LLMs) are the industry’s closest friends. They are our best friends, even if they are seen as disruptors, making the scene volatile. They are a learner’s paradise. With the risk ...
Devdiscourse

AI systems can create competing ‘algorithmic worlds’ from same data

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...
IEEE

Learning Optimal Signal Temporal Logic Decision Trees for Classification: A Max-Flow MILP Formulation

Abstract: This paper presents a novel framework for inferring timed temporal logic properties from data. The dataset comprises pairs of finite-time system traces and corresponding labels, denoting ...
Visual Studio Magazine

Decision Tree Regression from Scratch Without Pointers or Recursion Using C#

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...
IEEE

Gene ranking: An entropy & decision tree based approach

Abstract: The Cancer disease involves abnormal cell growth and has the potential to spread to other parts of the body. Today, technology has provided us with many methods to study the pattern of ...
Devdiscourse

IoT and ensemble AI transform congestion prediction in urban bus networks

Tree-based ensemble models often outperform more complex deep learning architectures when applied to structured, tabular IoT data. While neural networks excel with image and unstructured inputs, ...