Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...

The battlefield is no longer just a physical space of troops and artillery; it is a vast, invisible network of data, sensors, and machine learning models. In the current Iran-Israel conflict, AI is ...

Overview:Machine Learning libraries like PyTorch, TensorFlow, and JAX help developers build, train, and deploy AI models ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

New research shows that the application of AI remains uneven across the full spectrum of disaster management, with most systems still concentrated on detection and prediction rather than actionable ...

Childhood asthma poses a significant threat to pediatric health, and traditional assessment methods are often inadequate in efficiency and accuracy. This study aims to develop a rapid assessment tool ...

Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...