Payment protection solution Eftsure says finance teams must incorporate adversarial thinking to pre-empt sophisticated new ...

As professional fraudsters ramp up their attacks with generative AI and randomization tools, they are exploiting a narrow and ...

Experts at the Mint BFSI Summit highlighted the limitations of AI in banking, emphasizing the need for human involvement in processes like loan documentation and customer experience ...

You can install LCDNet locally on your machine, or use the provided Dockerfile to run it in a container. The environment_lcdnet.yml file is meant to be used with ...

Abstract: Efficient and precise loop closure detection is essential for both autonomous vehicles and robotics. Currently, loop closure detection technologies can recognize locations using the ...

The proliferation of online banking, e-commerce platforms, and digital payment systems has expanded the attack surface for fraudsters, making traditional fraud detection methods increasingly ...

They emphasize the importance of improving due diligence, enforcing compliance and adopting technologies like real-time tracking and fraud detection systems. As the industry reflects on these scandals ...

While many research studies discussed adversarial examples against attack detection in CPS, there is a lack of focus on the closed control loop system of ICSs. Therefore, this article explores ...

Smartwatch manufacturers know these things can happen to wearers of all ages, which is why they equip their devices with sensors and software to detect when incidents happen. Fall detection works ...

By leveraging machine learning, predictive analytics, and natural language processing, AI enhances fraud detection, improves decision-making, and optimizes financial operations in real time.