Categories: AI/ML News

LaundroGraph: Using deep learning to support anti-money laundering efforts

In recent years, deep learning techniques have proved to be highly valuable for tackling countless research and real-world problems. Researchers at Feedzai, a financial data science company based in Portugal, have demonstrated the potential of deep learning for the prevention and detection of illicit money laundering activities.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

Intel announced new enterprise GPU with 32GB vram

If only it works well with work flow. Nvidia have CUDA, AMD have ROCM, I…

4 hours ago

5 Practical Techniques to Detect and Mitigate LLM Hallucinations Beyond Prompt Engineering

My friend who is a developer once asked an LLM to generate documentation for a…

4 hours ago

Exclusive Self Attention

We introduce exclusive self attention (XSA), a simple modification of self attention (SA) that improves…

4 hours ago

Unlocking video insights at scale with Amazon Bedrock multimodal models

Video content is now everywhere, from security surveillance and media production to social platforms and…

4 hours ago

DRA: A new era of Kubernetes device management with Dynamic Resource Allocation

The explosion of large language models (LLMs) has increased demand for high-performance accelerators like GPUs…

4 hours ago

Amazon Spring Sale Deal: The Typhur Dome 2 Air Fryer Is 30% Off

I tested more than 30 air fryers this past year. The Typhur Dome 2 is…

5 hours ago