Fintech Asia News Feed
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Bridging mathematical modeling and AI for 3D coordinate recognition of moving objects without external reference and attitude measurement – Communications Engineering
References Chen, M. et al. Iterative integration of deep learning in hybrid earth surface system modelling. Nat. Rev. Earth Environ. 4, 568–581 (2023). Google Scholar Hess, P., Drüke, M., Petri, S., Strnad, F. M. & Boers, N. Physically constrained generative adversarial networks for improving precipitation fields from Earth system models. Nat. Mach. Intell. 4, 828–839
AI in Crypto Crime Investigations: Why Human Judgment Still Defines the Case | TRM Blog
In 2025, illicit crypto volume reached USD 158 billion. Scam proceeds accounted for an estimated USD 30 billion of that total, while hack-related theft added another USD 2.87 billion. No investigator can manually triage data at that scale — and they don’t have to. From the start, blockchain intelligence platforms like TRM Labs were built
Use RAG for video generation using Amazon Bedrock and Amazon Nova Reel | Amazon Web Services
Generating high-quality custom videos remains a significant challenge, because video generation models are limited to their pre-trained knowledge. This limitation affects industries such as advertising, media production, education, and gaming, where customization and control of video generation is essential. To address this, we developed a Video Retrieval Augmented Generation (VRAG) multimodal pipeline that transforms structured
Introducing V-RAG: revolutionizing AI-powered video production with Retrieval Augmented Generation | Amazon Web Services
A key development in generative AI is AI-powered video generation. Before AI, creating dynamic video content required extensive resources, technical expertise, and significant manual effort. Today, AI models can generate videos from simple inputs, but organizations still face challenges like unpredictable results. This post introduces Video Retrieval-Augmented Generation (V-RAG), an approach to help improve video
What Mastercard Users Can Expect of the Firm’s New AI Engine
Steve Flinter, Distinguished Engineer at Mastercard. Credit: Glen Bollard Thanks to NVIDIA, Mastercard can now access data from billions of anonymised transactions to better detect fraud, improve loyalty programmes and more Mastercard has researched and built a large-scale AI model, powered by NVIDIA and Databricks technology, that can be used as the basis for a
XJTLU hosts 2026 joint conference on intelligent engineering – Xi’an Jiaotong-Liverpool University
19 Mar 2026 On 18 March, Xi’an Jiaotong-Liverpool University (XJTLU) hosted the Intelligent Engineering 2026: XJTLU-XJTU-UoL Joint Symposium alongside Xi’an Jiaotong University (XJTU) in China and the University of Liverpool in the UK. The event brought together experts from the three universities and other Chinese institutions to discuss advances in intelligent engineering. It also showed
How AI deep learning is helping UCLA scientists protect California’s coastal ecosystems
Key takeaways Satellite imagery combined with artificial intelligence has led to new, high-resolution statewide maps that detect changes in kelp forests previously invisible to traditional monitoring tools. The maps provide critical data-driven insights into how kelp survived or declined following the record-breaking 2014–2016 marine heatwave, allowing managers to target specific areas for recovery and develop
AI Deep Learning Aids UCLA in Safeguarding Coastlines
UCLA Key takeaways Satellite imagery combined with artificial intelligence has led to new, high-resolution statewide maps that detect changes in kelp forests previously invisible to traditional monitoring tools. The maps provide critical data-driven insights into how kelp survived or declined following the record-breaking 2014–2016 marine heatwave, allowing managers to target specific areas for recovery and