May 7, 2024, 2:48 p.m. | Dr. Tony Hoang

The Artificial Intelligence Podcast linktr.ee

Artificial intelligence (AI) and social media can provide more accurate assessments of depression and anxiety in American communities than traditional surveys, according to a study led by researchers from Stony Brook University, Stanford University, and the University of Pennsylvania. The study analyzed nearly one billion tweets from over two million users in 1,418 US counties and found that AI-generated measurements were more reliable at tracking changes in mental health rates on a weekly level and for smaller regions. The researchers …

anxiety artificial artificial intelligence billion communities depression intelligence media researchers social social media stanford stanford university study surveys tweets university university of pennsylvania

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US