IEEE

In-Context Learning in Large Language Models (LLMs): Mechanisms, Capabilities, and Implications for Advanced Knowledge Representation and Reasoning

Abstract: The rapid growth of Large Language Models (LLMs) and their in-context learning (ICL) capabilities has significantly transformed paradigms in artificial intelligence (AI) and natural language ...
Newspoint on MSN

Want to build a career in data science? First, learn these 7 essential skills.

Career in Data Science: Data Science has emerged as one of the fastest-growing career options in the corporate and IT sectors ...
British Journal of Ophthalmology

Identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Machine Design

Engineering the Long Stroke: A Guide to Rodless Linear Actuators

Already registered? Click here now to login! Rodless cylinders can cut your machine footprint by 50%—but only if you size them correctly. In modern machine design, space is at a premium. Traditional ...
IEEE

LiP-LLM: Integrating Linear Programming and Dependency Graph With Large Language Models for Multi-Robot Task Planning

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
BMJ

Applications of artificial intelligence and machine learning for cardiovascular risk management in the public health policy context: a systematic review protocol

Introduction Cardiovascular diseases (CVD) remain the leading cause of morbidity and mortality worldwide. Public health responses to CVD require complex, multisectoral strategies that combine ...