Error-correction technology to turn quantum computing into real-world power

Ripples spreading across a calm lake after raindrops fall—and the way ripples from different drops overlap and travel outward ...
Morning Overview on MSN

Is quantum the next AI killer, or just hype?

Quantum computing has moved from physics labs into boardroom slide decks, promising to crack problems that leave even the ...
EurekAlert!

First joint overview of PCR deduplication and error correction revolutionizes NGS data analysis

A landmark study, titled “How error correction affects polymerase chain reaction deduplication: A survey based on unique molecular identifier datasets of short reads” recently published in ...
Phys.org

Quantum machine learning nears practicality as partial error correction reduces hardware demands

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from massive datasets and powering next-gen AI. That future might be closer than ...
C&EN

Nontargeted Analysis with Machine Learning Method Revealing New Chlorinated Byproducts of Tire-Leaching Compounds and Their Formation Pathways During Water Chlorination

Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2G3, Canada Division of ...
SciELO

Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach

Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
Pew Research Center

Understanding error bars in charts

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Every survey finding published by Pew Research ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
Frontiers

Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database

Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...
marktechpost

Build Custom AI Tools for Your AI Agents that Combine Machine Learning and Statistical Analysis

The ability to build custom tools is critical for building customizable AI Agents. In this tutorial, we demonstrate how to create a powerful and intelligent data analysis tool using Python that can be ...