Big Data Analytics, Anti-Money Laundering, Financial Fraud Detection, Machine Learning, Regulatory Technology Share and Cite: Jiang, H. (2024) Application Technologies and Challenges of Big Data ...

Machines can now beat us at chess, create art, and even diagnose diseases. Yet, for all its capabilities, artificial ...

Subtle signs of Alzheimer's disease can emerge decades before a diagnosis—often in the form of irregular behaviors that ...

Machine Learning (ML) and Deep Learning (DL) algorithms can reduce road accidents through their ability to detect sleepy ...

Study indicates that a fitness tracker can detect mood episodes in bipolar disorder to help drive treatment ...

Organic semiconductors represent a transformative technology that bridges traditional electronics with the versatility of organic materials. They make flexible, wearable devices and next-generation ...

Abstract: Traditional machine learning involves collecting data from clients to ... To address this communication overhead, several algorithms have been proposed for FL tasks, such as sparsification ...

There are many great options on the market, so let’s take a look at the 10 best AI stock trading ... in real-time using advanced AI algorithms. TrendSpider is a powerful technical analysis platform ...

Each layer in a DNN performs calculations, and it’s the number of layers and their interconnectedness that distinguish deep learning from other machine learning approaches ... new tasks with transfer ...

For this study, they focused on 225 male participants with autism and 255 males without the condition, with ages ranging from around 10 to 20. They selected ... By applying a specialized machine ...