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University of Texas at Dallas


Emotions in motion: How movement may signal mental health issues

A recent study published in Gait & Posture found that analyzing a person's walk and getting up from a chair can identify elevated depression and anxiety symptoms. The researchers used machine-learning models trained on data from participants' movements combined with information about their mental state, achieving high accuracy rates.

SourceUniversity of Texas at Dallas·JournalGait & Posture·TypeObservational study·DateMar 30, 2026

Researchers build brain-inspired computer prototype

A small-scale neuromorphic computer prototype learned patterns and made predictions using fewer training computations than conventional AI systems. The prototype, developed by the University of Texas at Dallas team, integrates memory storage with processing, allowing for more efficient AI operations with lower costs.

SourceUniversity of Texas at Dallas·JournalCommunications Engineering·TypeExperimental study·DateOct 31, 2025

Study: how online language choices may signal self-harm risk

Researchers analyzed over 66,000 Reddit posts from individuals with borderline personality disorder and found that decreased social connectedness, negative emotions, and hostile language can predict self-harm behaviors. Online support community posts may unintentionally reinforce harmful patterns of thinking and behavior through likes ...

SourceUniversity of Texas at Dallas·Journalnpj Mental Health Research·TypeData/statistical analysis·DateAug 7, 2025

Engineers discover key barrier to longer-lasting batteries

University of Texas at Dallas researchers have discovered why LiNiO2 batteries break down during charging and are testing a solution to remove the key barrier to widespread use. They developed a theoretical solution that reinforces the material by adding a positively charged ion, creating pillars to strengthen the cathode.

SourceUniversity of Texas at Dallas·JournalAdvanced Energy Materials·TypeComputational simulation/modeling·DateFeb 13, 2025