AURORA, Colo. — Aurora City Council on Monday approved a measure allowing police to use facial recognition technology in criminal investigations and other aspects of police work. The council voted 5-2 ...

Jennifer McRae is a digital media producer for CBS Colorado with more than 25 years of experience in news. Jennifer is part of the digital team recognized for excellence for Best Website several times ...

The Aurora City Council approved facial recognition technology at its regular Monday night meeting. Supporters believe it clears the way for police officers to use it for solving crimes, and opponents ...

Editor’s note: This story previously identified an incorrect AI company. We regret the error. DENVER (KDVR) — Aurora city leaders voted to let the Aurora Police ...

Police are using live facial recognition for the first time in Greater Manchester as part of efforts to crack down on criminal behaviour. Greater Manchester Police (GMP) has received two Live Facial ...

Sainsbury's is testing facial recognition cameras in two of its shops to crack down on shoplifting. If the eight-week trial goes well, they'll consider rolling it out to other stores. Some other ...

Shoplifting in England and Wales is at a record high. In 2024/25, 530,643 offences were recorded, up 20% from the previous year and the highest since current police recording practices began in 2002.

Baidu unveils a powerful open-source AI model that rivals Google and OpenAI in visual reasoning, multimodal analysis, and enterprise efficiency using just a fraction of computing power.

Its replacement might be here, but the Switch isn’t dead yet. Here are the best games for the Nintendo Switch.

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .