Abstract: Illicit activities and coordinated manipulations in the Non-Fungible Tokens (NFT) market remain significant concerns, driven by the pseudonymous and publicly transparent nature of blockchain ...
The research “Detecting Financial Fraud in Real-Time Transactions Using Graph Neural Networks and Anomaly Detection Techniques” presents an AI-driven system for real-time fraud detection in digital ...
In this video, I'm showing two options that one can take to implement a laundry cycle ending detection in their smart home setup. One of the routes is to implement a vibration sensor to detect the ...
The Sun looks steady from 93 million miles away. It rises, sets, and warms the planet. But under that bright surface, it never really sits still. Every 11 years, the Sun moves through a cycle of ...
Sleep Cycle and CMU's Delphi Group have announced a research collaboration focused on understanding how privacy-preserved data and sleep-based signals, such as nighttime cough patterns, may complement ...
Today, we are releasing new research on detecting backdoors in open-weight language models. Our research highlights several key properties of language model backdoors, laying the groundwork for a ...
Abstract: Unsupervised cross-sensor change detection (CSCD) is a significant yet challenging task in remote sensing, primarily due to substantial domain shifts across heterogeneous images and the ...
New peer-reviewed research suggests Apple Watch could play a much bigger role in spotting atrial fibrillation. In a real-world study, researchers found that smartwatch-based monitoring caught far more ...
We have compared the four temporal modes of the gravity field with the six temporal modes of the magnetic field one by one. The main principal components of the core magnetic and gravity signals ...
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