This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

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

In the U.S., credit card fraud costs $5 billion annually, identity theft adds $16.4 billion, and Medicare fraud drains $60 billion each year. A new machine learning breakthrough generates accurate ...

The method combines two strategies: an ensemble of three unsupervised learning techniques using the SciKit-learn library and a percentile-gradient approach. The goal is to minimize false positives by ...

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

Turing Award recipients Richard Sutton and Andrew Barto believe reinforcement learning will play a role in artificial general ...

Tulasi Naga Subhash Polineni’s research offers a timely solution that can serve as a blueprint for the next generation of public health infrastructure.

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 ...