Researchers at the Indian Institute of Science (IISc) and the Qatar Science and Technology Research Center (QSRTC) have ...

The new AI-powered algorithm analyses high-resolution microscope images of metal surfaces to assess two crucial indicators of corrosion: the thickness of corrosive deposits and the porosity (tiny ...

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

To address these issues, this paper introduces an integrated framework that leverages Distributed Energy-Efficient Clustering (DEEC), the Energy Efficient Knapsack Algorithm (EEKA), K-Means clustering ...

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Jordon Hudson, Kash Patel and MJ’s fax machine: Pablo Torre’s ‘terminal content brain’ battles the algorithm Zak Keefer May 30, 2025 ...

Artificial intelligence (AI) refers to machine-based systems that analyze input data to generate predictions, recommendations, or decisions, 1 AI-based and machine learning (ML)-based technologies ...

She realized the clustering algorithm she was studying was similar to another classical machine-learning algorithm, called contrastive learning, and began digging deeper into the mathematics.

Machine learning algorithms can potentially automate these processes, minimizing energy consumption and extending network lifetime. This research investigates the application of machine learning ...