A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ML-driven cell-based assays.

"We found that many of today's most successful AI methods boil down to a single, simple idea -- compress multiple kinds of data just enough to keep the pieces that truly predict what you need," says ...

Abstract: Machine learning (ML)-based detection of diseases using sequence-based gut microbiome data has been of great interest within the artificial intelligence in medicine (AIM) community. The ...

DLPy is a high-level Python library for the SAS Deep learning features available in SAS Viya. DLPy is designed to provide an efficient way to apply deep learning methods to image, text, and audio data ...

This study investigates the application of a deep learning model, YOLOv8-Seg, for the automated classification of osteoporotic vertebral fractures (OVFs) from computed tomography (CT) images. A ...

ParsBERT trained on a massive amount of public corpora (Persian Wikidumps, MirasText) and six other manually crawled text data from a various type of websites (BigBang Page scientific, Chetor ...

In November 2023, the self-driving car company Cruise admitted that its “driverless” robotaxis were monitored and controlled (as needed) by remote workers. Cruise CEO Kyle Vogt took to Hacker News, a ...

Abstract: The broad learning system (BLS) is a versatile and effective tool for analyzing tabular data. However, the rapid expansion of big data has resulted in an overwhelming amount of tabular data, ...

Artificial intelligence, particularly deep learning (DL), has immense potential to improve the interpretation of transthoracic echocardiography (TTE). Mitral regurgitation (MR) is the most common ...