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 ...

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 ...

Abstract: Bug triaging–the process of classifying and assigning software issues to appropriate developers–is a critical yet challenging task in large-scale software development. Manual triaging is ...

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 ...

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 ...

A personal repo for small ML projects I build while learning new algorithms — like simple linear regression and more. Nothing major here, just hands-on practice to apply what I’ve learned.

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry. Flying high Antoni Shtipliyski is an engineering manager at Skyscanner, where ...