DataBreachToday

Guardrails Put Relational Databases on Safer Paths to Automation

Relational databases hold up as the foundation of modern data management in no small part because of system maturity and the ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Beyond math and coding: New RL framework helps train LLM agents for complex, real-world tasks

The Agent-R1 framework provides a path to building more autonomous agents that can reason and use tools in unpredictable, ...
Psychology TodayOpinion

AAPI Justice Begins With Belonging

Belonging and critical consciousness shape well-being and civic engagement among AAPI individuals. Racism, trauma, and ...

Dan Herbatschek Leads New Initiative in New York and Los Angeles to Advance Transparency and Interpretability in Machine Learning

The applied mathematician and Ramsey Theory Group founder launches a mission to reshape how organizations understand and ...
The Lancet

Indigenous people's perspectives on sharing health data for service delivery purposes: an inquiry using Indigenous methodologies

Honouring Indigenous perspectives in data-sharing arrangements is an ethical obligation. In perinatal settings, upholding ...
Scientific Research Publishing

Therapist Support, Professional Growth, and the Therapeutic Relationship in Mandated Counselling in Singapore: A Qualitative Study ()

This qualitative study explores therapists’ experiences of providing mandated counselling within the Singapore court-referral system, with a focus on therapist support, professional growth, and the ...

Model helps explain how context-dependent behavior occurs

How animals may modify their behavior depending on their context has been modeled mathematically by two RIKEN neuroscientists. Their simple but biologically plausible model could shed light on mental ...