Unite.AI

LLMs and MCP Servers: A New Blueprint for Secure AI in Remote Access

A growing number of organizations are embracing Large Language Models (LLMs). LLMs excel at interpreting natural language, ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Frontiers

Improving Machine Learning for Water Resources Through Scientific Knowledge Integration

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
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 ...
IEEE

Early Detection of Lung Cancer Using Predictive Modeling Incorporating CTGAN Features and Tree-Based Learning

Abstract: Artificial intelligence (AI) has revolutionized several domains and medical science has significantly benefited from AI-based approaches. Machine learning models enable the robust and ...
BMJ Open

Development and evaluation of a diagnostic aiding tool for differentiating tropical fevers using artificial intelligence approach: a study protocol from tertiary care hospital ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...