We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents’ observations

What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out ...

A machine learning model may enable liver cancer risk prediction with routine clinical information

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Tech Xplore

Researchers use machine learning and social network theory to identify formation patterns in digital forums

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...

AI set to transform personality testing, new research finds

Personality tests are widely used in workplaces to shape recruitment, leadership training and team building. But what if ...
Communications of the ACMOpinion

Model Collapse Is Already Happening, We Just Pretend It Isn’t

The weird, rare, surprising patterns that make data rich slowly get smoothed out when an AI model trains on outputs from a ...
Neuroscience News

Meta’s TRIBE AI: A New Foundation Model Decoding Human Brain Activity

Meta’s new TRIBE AI model decodes brain activity with 70x higher resolution. Discover how this foundation model uses fMRI ...
Scientific Research Publishing

Predicting Workplace Conflicts through Intersectional Analysis of Social Identities of Employees: A Multilevel Statistical Modelling Approach ()

Predicting Workplace Conflicts through Intersectional Analysis of Social Identities of Employees: A Multilevel Statistical ...
Frontiers

Causal Machine Learning for Treatment Selection and Outcome Optimization in Mood Disorders

Mood disorders represent a major global burden and are characterized by substantial heterogeneity in symptom profiles, treatment response, and clinical ...