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, ...

The authority era: How AI is reshaping what ranks in search

From PageRank to AI Overviews, Google’s understanding of authority evolved. Here's why brand legitimacy now drives sustainable visibility.
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

Comparative Analysis of A*, Dijkstra’s, and Breadth-First Search Algorithms: Evaluating Complexity, Optimality, and Efficiency in Shortest Pathfinding

Abstract: This paper presents a comparative analysis of three widely used pathfinding algorithms: A*, Dijistra’s, and Breadth-First Search (BFS). We evaluate these algorithms based on their complexity ...

DexaFit Scottsdale Announces Regional Availability of Resting Metabolic Rate Testing

SCOTTSDALE, AZ - February 12, 2026 - PRESSADVANTAGE - DexaFit Scottsdale has announced that its Resting Metabolic Rate ...
IEEE

SHERPA: Explainable Robust Algorithms for Privacy-Preserved Federated Learning in Future Networks to Defend Against Data Poisoning Attacks

Abstract: With the rapid progression of communication and localisation of big data over billions of devices, distributed Machine Learning (ML) techniques are emerging to cater for the development of ...