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How Police AI Tools Can Improve Workflow, Benefit Customer Service

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Real-time data-processing platforms that combine video analytics, license-plate readers, and social media scraping are significantly reducing investigative timelines. A 2024 multi-city technical analysis documented a 73% reduction in investigation time and improved cooperation across jurisdictions through the use of real-time data processing systems.

Yet speed means little if victims still feel adrift. Victim assistance applications that push automatic texts or e-mails at each milestone of their case, such as detective assignment, arrest, and case filing, can help victims stay informed. However, national research from 2013 shows that just 23 percent of victims enrolled in automated-notification systems. With proactive outreach and improved online registration, those numbers would hopefully improve. 

Turning Data into Dialogue 

AI can also change how departments tell their story. Real-time resource platforms can track patrol coverage, crime hotspots, and response metrics more quickly and efficiently. With analytics, police chiefs can shift the community and elected officials’ conversations to include evidence along with stories of police impact. For elected officials, the payoff is a clear justification for technology budgets. For residents, it is proof—updated daily—that their tax dollars translate into shorter waits and safer streets. 

These gains go beyond efficiency; they reshape the service experience itself. Automated status updates keep victims informed without requiring them to chase case information. Predictive resource mapping positions units closer to likely call hot spots, trimming response times for entire neighborhoods. Chatbots on department websites answer common questions 24/7, guiding residents to online reporting or community resources without a single hold tone.  

Rethinking Customer Service with AI 



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AI Research

Silicon Valley eyes a governance-lite gold rush

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Andreessen Horowitz has had enough of Delaware and is moving a unit’s incorporation out west



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Artificially intelligent: Does it matter if ChatGPT can’t think? – AFR

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Artificially intelligent: Does it matter if ChatGPT can’t think?  AFR



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Ciena Powers SingAREN to Enhance AI-Driven Research with High-Speed Network

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For over a decade, Singapore has consistently ranked highly on the Global Innovation Index, an annual ranking of 130 economies. In 2024 it achieved its highest position yet – 4th globally. 


This strong performance is largely due to steady, long-term investment in research & development (R&D) as a key pillar of Singapore’s economic development strategy.


Supporting Singapore’s Research, Innovation and Enterprise (RIE) ecosystem is the Singapore Advanced Research and Education Network (SingAREN), established in 1997. SingAREN is the sole provider of dedicated local and international network services for the local Research and Education community.


SingAREN’s network supports the SingAREN Open Exchange (SOE) for high-speed research and education connectivity, eduroam, an international Wi-Fi internet access roaming service for the international research and education community, and FileSender SG as a platform for large file transfers, among other services running on its network.


RIE is vital to Singapore’s progress, fostering economic growth and competitiveness. It also drives scientific advancements that can potentially address societal challenges and enhance our well-being.


SingAREN has supported robotic telesurgery trials across international boundaries, which require precise, instantaneous control, and a low-latency network for real-time collaboration.


SingAREN also enables high-speed, resilient connectivity to the National Supercomputing Center (NSCC), which manages Singapore’s national high-performance computing (HPC) resources, supporting research and innovation across various fields. In particular, the NSCC’s expertise and specialized infrastructure are often leveraged to manage and analyze genomic data. Transferring genomic data is typically difficult due to its massive data size.


SingAREN provided a high-speed link to the Cancer Science Institute of Singapore for a research project, transmitting more than 2 petabytes of cancer genomics data downloaded from repositories in the United States into NSCC. The research involved harmonizing petabytes of whole genome sequencing data, and downloads were expected to be extremely fast, stable, and efficient, after which, the downloaded data would be analyzed and reprocessed with high computing power.


This is but one of the examples of collaboration with NSCC to transfer, download, analyze and process genomic data.


Academic research is experiencing explosive growth and requires more data than ever before, fuelled by AI and Machine Learning (ML), and cloud computing. The increasing use of generative and agentic AI will also impact SingAREN and its research partners significantly, leading to increased data volume. This type of advanced research activity will not be possible without a robust, scalable, low-latency network.


In the coming months, SingAREN will enhance its network to further support its research institution partners. These plans include the SingAREN Lightwave Internet Exchange (SLIX) 2.5 project, to provide high-speed, secure connectivity by 2027, and the SLIX 3.0 vision to build a future-ready network that incorporates quantum-safe networking, AI research, and haptic surgery. SingAREN also aims to expand cybersecurity threat intelligence sharing and continue infrastructure upgrades, such as implementing 400G switches and enhancing Points of Presence (PoP) resilience.


SingAREN uses Ciena’s 6500 powered by Ciena’s WaveLogic programmable coherent optic technology. Deployed by Ciena partner, Terrabit Networks, Ciena’s 6500 supports SingAREN to respond to changing requirements on-demand, allowing the REN to continually maximize network efficiencies and offer customizable service delivery over any distance.


Associate Professor Francis Lee, Vice President of SingAREN


Our backbone network, powered by Ciena’s 6500 optical solution, is built to handle the growing demands of AI, genomics, and big data applications—transmitting petabytes of data. To support the advancement of Singapore’s Research, Innovation and Enterprise agenda, our flexible, low-latency network can now seamlessly deliver 10G to 100G connections to member institutions. We continue to push the boundaries of research and innovation, ensuring connectivity is never a limiting factor.



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