In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...

Synthetic data, artificially generated datasets used to train AI models when real data are limited, private, or biased, has become central to modern machine learning. Companies and institutions ...

Machine learning (ML) algorithms are constantly finding new applications in all scientific fields, and geological engineering ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

The researchers argue that the integration of explainable AI into clinical decision-making pipelines could reshape cancer ...

A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

STMicroelectronics has integrated a machine learning core in its LSM6DSOX iNEMO motion sensors to enhance activity tracking in smartphones, wearables, and game controllers. That allows the company’s ...