Analytics Insight22h
Most Important AI Algorithms for Beginners in 2025
As we progress into 2025, Artificial Intelligence (AI) continues to reshape industries and revolutionize how we interact with ...
Algorithms based on deep learning can improve medical image analysis
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on ...
Tech Xplore on MSN54m
Self-supervised machine learning adapts to new tasks without retraining
The field of machine learning is traditionally divided into two main categories: "supervised" and "unsupervised" learning. In supervised learning, algorithms are trained on labeled data, where each ...
Impacts12d
Using Machine Learning for Anomaly Detection
Machine learning algorithms are a powerful tool for detecting anomalies in network traffic structure. In this way they can ...
Simple machine learning techniques can cut costs for quantum error mitigation while maintaining accuracy
Quantum computers have the potential of outperforming classical computers in some optimization and data processing tasks.
New algorithm for functional protein design outperforms traditional methods
Researchers from the University of Science and Technology of China (USTC), led by Prof. Liu Qi, in collaboration with Harvard ...
Science Daily12d
New algorithm boosts multitasking in quantum machine learning
When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...
Analytics Insight12d
Automating AI Model Design: Neural Architecture Search and the Future of Deep Learning
Neural Architecture Search (NAS) is revolutionizing AI by automating the complex design of neural networks, a task ...
Advancements in reinforcement learning for personalized patient care
Reinforcement Learning, an artificial intelligence approach, has the potential to guide physicians in designing sequential treatment strategies for better patient outcomes but requires significant ...