The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection ...

The future of fraud prevention lies in multi-layered, continuously learning systems that can anticipate threats and respond ...

By using AI to better predict and manage post-surgery pain, the team at HSS hopes to make recovery smoother and more ...

Here is a look at root cause analysis (RCA) challenges in firmware development and their AI-powered solutions.

Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways ...

In an era where digital payments and cybersecurity threats increasingly overlap, AI and machine learning have become ...

A new machine learning approach has enabled researchers to understand the role of neural cells including astrocytes in ...

In an era where artificial intelligence is reshaping entire industries, Jinzhu Yang is leveraging cutting-edge technologies to bridge data, decisions, and human impact. With expertise spanning natural ...

Murali Mohana Krishna Dandu has made extensive contributions to Fortune 500 companies like Walmart, Wayfair, Home Depot, ...

Current strategies like reinforcement learning from human feedback (RLHF) and scalable oversight hinge on the assumption that ...

Metabolon, Inc., the global leader in providing metabolomics solutions advancing a wide variety of life science research, diagnostic, therapeutic development, and precision medicine applications, ...

Next, we propose an unsupervised de-interfered method to learn genuine rPPG signals with two stages. In the first stage, we estimate the initial rPPG signals by contrastive learning from both the ...