A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy ...

Russia has insisted on calling the Ukraine war a ‘special military operation’. There's a reason for the change ...

In the brief history of AI security, the prompt injection has quickly become the top threat. Large language models are ...

Boffins have found that cold-blooded killers have a shrunken amygdala, a brain defect linked to a lack of guilt and a higher ...

For decades, every major technological breakthrough has been accompanied by predictions that banking as we know it would ...

Bristol's crime-prediction AI scored 300,000 people with under 10% accuracy - now its architect wants to roll it out to every ...

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...

Raksha is not merely a technological innovation; it is an invitation to reimagine child protection itself. By combining human commitment with technological capability, we can move closer to a future ...

Abstract: To the public safety, economic growth, and overall community well-being in the cities of the world, urban homicide presents a serious threat the size of which is seen in no other place. It ...

A robust Machine Learning–based system designed to predict crime rates across 38 districts of Bihar, leveraging a high-performance Random Forest model (~90% accuracy) and deployed via a Flask web ...

Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, extending the prior DAAE framework beyond static baseline risk. Registry ...