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, ...

Pop-up-style 3D electrode array captures organoid-wide brain rhythms in real time

A team led by Northwestern University and Shirley Ryan AbilityLab scientists have developed a new technology that can eavesdrop on the hidden electrical dialogues unfolding inside miniature, lab-grown ...
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

Vegetable Sales Forecasting Based on XGBOOST Algorithm and Random Forest

Abstract: This paper explores the forecasting of vegetable sales and the optimization of procurement strategies using the XGBOOST algorithm and random forest methodology. The study begins by utilizing ...
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

Enhanced Performance of Software Defined Network (SDN) Through Meta Heuristic Particle Swarm Optimization Random Forest Algorithm

Abstract: Integration of Software-defined Networking (SDN) with traditional networking technologies is crucial due to the increasing demand for network performance. SDN offers a centralized and ...