Source: China Mobile Research Institute Recently, the knowledge graph-driven communication expert intelligent agent developed by China Mobile Research Institute has been successfully launched at China ...

The Milwaukee Police Department is considering a troubling proposal: trading 2.5 million images and data belonging to Milwaukee residents — mostly Black and Brown people — with a private “big data” ...

The use of facial recognition by police in South Wales and Gwent is compliant with the UK’s data protection law, a new audit report from the country’s data watchdog has found. Published on Wednesday, ...

A plan by London’s Metropolitan Police to use live facial recognition at Notting Hill Carnival has prompted fresh debate, but that debate is running up against a dearth of evidence about how real-time ...

Dell PowerProtect Data Domain with Data Domain Operating System (DD OS) of Feature Release versions 7.7.1.0 through 8.3.0.15, LTS2024 release Versions 7.13.1.0 through 7.13.1.25, LTS 2023 release ...

Data firm gets recognition for driving transformation, others Dun & Bradstreet has been named 2025 Databricks Growth Data Partner of the Year, earning top honors at the annual Data + AI Summit.

"Participation in the UL Client Test Data Program confirms that our laboratory meets the highest standards of quality and rigor. It is a key lever to improve agility in our developments and better ...

Emotion recognition based on electroencephalogram (EEG) faces substantial challenges. The variability of neural signals among different subjects and the scarcity of labeled data pose obstacles to the ...

There is a strong correlation between physical health and metal ion levels in biological fluids, making them an attractive analyte for noninvasive health monitoring. Given the pressing need for ...

Tackling Manual Cross-Domain Data Transfer Risks The new cloud-based cross-domain transfer system addresses the security challenge that DevSecOps users and DISA mission partners face when ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...