Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
IEEE

Influence Maximization Under Network Data Distortion: A Max-Min Ant System with Multi-Graph Random Walk Approach

Abstract: Influence maximization (IM) aims to select a seed set of users that maximizes the expected influence spread and is a fundamental problem in social network analysis. The dynamic and complex ...
Harvard Business Review

When Using AI Leads to “Brain Fry”

A new study finds that certain patterns of AI use are driving cognitive fatigue, while others can help reduce burnout. by Julie Bedard, Matthew Kropp, Megan Hsu, Olivia T. Karaman, Jason Hawes and ...
IEEE

A Min-Max Based Data Normalization and Maximum Pooling Approach for Improved Maize Leaf Disease Detection

Abstract: Accurately detecting maize leaf diseases from field images is challenging. This is because of the shortcomings of field data such as complex and non-uniform backgrounds and varying ...