Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Researchers develop a lightweight algorithm designed to reorganise network connections to enable secure, low-latency data ...

In simulations involving a 50-node IoT network, Dual Perigee reduced block-related delays by 48.54% compared to the standard ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify ...

Blockchain is a promising solution for secure data sharing in the Internet of Things (IoT) networks, but existing systems ...

Blockchain could make smart devices far more secure, but sluggish data sharing has held it back. Researchers found that messy network connections cause massive slowdowns by flooding systems with ...

Blockchain is a promising solution for secure data sharing in the Internet of Things (IoT) networks, but existing systems ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

New York’s groundbreaking Algorithmic Pricing Disclosure Act (the Act) took effect on Nov. 10, 2025. The Act requires businesses operating in New ...

Social data refers to publicly shared information on social media platforms. Discover how it's used for marketing, its advantages, and the risks associated with data breaches.

Building on Ben Bernanke’s widely used recession probability model, we invented a better model using exactly the same ...