IIIT-B develops webcam-based tool to track distraction in surveys

IIIT-B develops a low-cost webcam tool to track survey distractions, enhancing data reliability in public health and social ...
Tech Xplore

No-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
NYU Grossman School of Medicine

Section of Digitally Enabled Care Research Team

NYU Langone’s Section of Digitally Enabled Care team brings together the disciplines of behavioral economics, public health, ...
EurekAlert!

Development of an AI device using ion gel and graphene that dramatically streamlines machine learning computations

A joint research team from NIMS, Tokyo University of Science, and Kobe University has developed a new artificial intelligence ...
IEEE

Identification of Spambots and Fake Followers on Social Network via Interpretable AI-Based Machine Learning

Abstract: Social networking platforms like X (Twitter) serve as hubs for open human interaction, but they are also increasingly infiltrated by automated accounts masquerading as human users. These ...
Carnegie Mellon University

Blending Humanistic Inquiry and Technology, Carnegie Mellon Leads a New Era of Cultural Study and Research

Carnegie Mellon University will introduce new academic programs and resources for students and researchers to blend traditional humanistic inquiry with computational methods like computer vision, ...
Frontiers

Social anxiety prediction model for nursing students based on machine learning: a cross-sectional survey

Background: The purpose of this study is to use a variety of machine learning (ML) algorithms to build a risk prediction model for nursing students’ social anxiety, select the optimal model, and ...
Journal of Medical Internet Research

Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis

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 ...
The New York Times

How A.I. and Social Media Contribute to ‘Brain Rot’

A.I. search tools, chatbots and social media are associated with lower cognitive performance, studies say. What to do? Credit...Derek Abella Supported by By Brian X. Chen Brian X. Chen is The Times’s ...
Seeking Alpha

Google announces 'Project Suncatcher' with goal to scale machine learning in space

Alphabet-owned Google (GOOG) (GOOGL) on Tuesday said it has begun the foundational work for "Project Suncatcher," the tech giant's latest and most ambitious initiative to scale machine learning in ...
PC Gamer

Arc Raiders' use of AI highlights the tension and confusion over where machine learning ends and generative AI begins

Like Embark Studios' 2023 shooter The Finals, its new game Arc Raiders, out today, comes bearing an "AI generated content disclosure" on its Steam page. "During the development process, we may use ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...