Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...

Advanced machine learning projects offer a challenging and rewarding experience, allowing developers to apply theoretical concepts to real-world problems. One project idea is developing a Deep ...

Abstract: The increasing ability of deep learning models to produce realistic-sounding synthetic speech poses serious problems for privacy, public trust, and digital security. To counter this danger, ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

What if the skills you choose to learn today could determine your career trajectory in 2025? The field of machine learning is evolving at a breakneck pace, and with it comes a growing demand for ...

Objective: This study aims to develop and validate a machine learning model that integrates dietary antioxidants to predict cardiovascular disease (CVD) risk in diabetic patients. By analyzing the ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

1 College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, China 2 College of Foreign Languages, Fuzhou University, Fuzhou, Fujian, China Objective: In response ...

A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI Co-Innovation Lab. GREEN BAY, Wis. - June 27, 2025 - BW Converting is ...