A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science ...

AI Productivity Tools Market is projected to reach USD 115.85 Bn by 2034, rising from USD 9.89 Bn in 2024, expanding at a ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

This research proposes a machine learning (ML) framework to identify potential “dual-use” drugs—compounds that may be therapeutically effective across both domains—by analysing drug-target interaction ...

Methods: UAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus sylvestris, and Pinus tabuliformis from 12 sample plots, 2,622 tree in total, were obtained in North China, training and testing ...

Remember that customer segmentation is an ongoing process, and you’ll want to iteratively adjust and improve based on real-world outcomes for the best results. Would you be ready to implement machine ...

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 ...

Machine learning and deep learning algorithms are widely used in computer science domains. These algorithms are mostly used for classification and regression problems in almost every field of life.

The rapid advancement of artificial intelligence (AI) in medical image analysis, particularly deep learning (DL) algorithms, has provided novel solutions for automated TN detection. However, existing ...

Abstract: Machine learning and deep learning algorithms are widely used in computer science domains. These algorithms are mostly used for classification and regression problems in almost every field ...