Quantum error correction can constantly recalibrate a processor

There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...
IEEE

A Distributed Framework for Large-scale Protein-protein Interaction Data Analysis and Prediction Using MapReduce

Abstract: Protein-protein interactions are of great significance for human to understand the functional mechanisms of proteins. With the rapid development of high-throughput genomic technologies, ...
VentureBeat

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...
IEEE

Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data

Abstract: We live in an age where everything around us is being created. Data generation rates are so scary, creating pressure to implement costly and straightforward data storage and recovery ...
Frontiers

An efficient approach for textual data classification using deep learning

Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories ...
Frontiers

Human Behavior Analysis Using Intelligent Big Data Analytics

Intelligent big data analysis is an evolving pattern in the age of big data science and artificial intelligence (AI). Analysis of organized data has been very successful, but analyzing human behavior ...