Tech Xplore

A new method to steer AI output uncovers vulnerabilities and potential improvements

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
IEEE

Hybrid Models for Classifying Liver Cirrhosis with SVM and Xgboost Algorithms

Abstract: Detecting and controlling cirrhosis that destroy liver tissue is major issue in liver part. More complex machine learning may better predict this complex disease. In this paper, a novel ...
IEEE

COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization

Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...