The Intelligent Battery Cycle Life Maximization Algorithm leverages machine learning to monitor and adjust battery behavior in real time.

However, many methods for detecting anomalies are insufficient, relying too heavily on simple models and prior knowledge, or struggling to handle noisy data. Zhang et al. developed an efficient, ...

Gaussian mixture model (GMM) has been widely used for soft sensor modeling of multimode industrial processes. However, it has been recognized that the performance of GMM deteriorates with the presence ...

We propose an example-based tone mapping algorithm for monochrome image. Specifically, the distribution of pixel intensity of the example image is modeled with Gaussian mixture model (GMM) whose ...

In his new book, AI expert Hatim Raham explains how algorithms have created a new labor market paradigm for workers.

The expectation-maximization (EM) algorithm is an elegant algorithm that maximizes the likelihood function for problems with latent or hidden variables.

The team also introduces a new loss function motivated by the expectation–maximization algorithm in Bayesian Gaussian mixture models (EM-GMM) to make the DeepDPM more robust and efficient.

And, with algorithms like Google’s in charge, it almost certainly will. I’m probably not the first reporter, SEO engineer, or influencer to stumble onto a simple-yet-effective exploit like this.