UC San Diego Today

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 these models. The new method could lead to more reliable, more efficient, ...
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 ...
AHA/ASA Journals

Multistage Electrocardiographic Profiling for Mental Stress-Induced Myocardial Ischemia in Women: A Prospective, Age-Matched Cohort Study in China

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
IEEE

Design and Field-Programmable Gate Array Realization of a Multirate Multisampling Algorithm for Improving Signal-to-Noise Ratio in Pulse Compression Radars

Abstract: Due to the ongoing advancements in small unmanned systems (SUSs), the field of study on detecting targets with small radar cross section (RCS) areas is constantly expanding. Due to their ...
GitHub

Project Title: Feature Engineering and Imbalanced Data in Money Laundering Detection: A Comparative Study of ML Algorithms

This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...
IEEE

Fourth-order cumulant based deconvolution algorithm with vector-sensor arrays for acoustic imaging

Abstract: This paper presents a deconvolution algorithm for high resolution acoustic imaging, specifically tailored for small-element acoustic vector-sensor (AVS) arrays. While existing fourth-order ...