With only 14 billion parameters, rStar2-Agent is considered "compact" compared to models that often boast hundreds of ...

In this week’s edition of InnovationRx, we look at AI medical scams, using machine learning to derive drugs from nature, ...

Overview DevOps speeds up software delivery while ensuring stability and reliability in applications.MLOps manages models and data to maintain accuracy, fairnes ...

Learn how AI in retail helps business owners increase profits, reduce waste, and streamline operations for long-term growth.

By working to understand how new AI systems integrate flexible and incremental learning, researchers gained insights about the human brain.

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

This important work sets out to identify the neural substrates of associative fear responses in adult zebrafish. Through a compelling and innovative paradigm and analysis, the authors suggest brain ...

This is the code of the paper 'Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation' (Accepted by AAAI 2025).

Risk assessment plays a central role in the primary prevention of cardiovascular disease. The 2017 High Blood Pressure Clinical Practice Guideline incorporated quantitative risk assessment for the ...

As businesses scramble to capitalize on AI, green software, cloud, there is a growing disconnect between technical reality, and grand strategic vision. We call it the ‘Devil’s in the Detail’ approach: ...